Charging method and device of clothes processing device and medium

Abstract

The invention relates to the technical field of clothes processing, particularly provides a charging method and equipment for clothes processing equipment and a medium, and aims to solve the technical problem of poor user experience caused by charging according to a preset mode in an existing method. In order to achieve the purpose, the charging method of the clothes processing equipment comprises the steps that charging basic information of the clothes processing equipment is acquired; generating an initial price based on the charging basic information and sending the initial price to the user; after the user places an order based on the initial price and the operation of the equipment is finished, the water and electricity amount actually consumed by the clothes processing equipment and the equipment operation duration are obtained; and generating a final price based on the water and electricity amount actually consumed by the clothes treatment equipment, the equipment operation duration and the initial price. After equipment operation is finished, the final price is generated by referring to the initial price in combination with the actual water and electricity consumption and the operation duration, the limitation of traditional fixed pricing is broken through, accurate charging of dynamic parameter adjustment programs such as intelligent washing and drying is achieved, and the use experience of a user is improved.

Description

Technical Field

[0001] This invention relates to the field of clothing processing technology, and specifically provides a billing method, equipment, and medium for clothing processing equipment. Background Technology

[0002] Currently, most shared laundry facilities on campuses and in communities adopt a scan-to-order, pay-for-laundry model, with fixed prices for different wash and dry programs. For example, a 10KG washing machine charges 5 yuan for a large item program and 3 yuan for a quick wash; a five-minute dryer session costs 5 yuan, with an additional 1 yuan for each extra minute of drying. This method suffers from the following problems: it cannot dynamically calculate billing based on actual electricity, water, and time consumption, resulting in poor billing flexibility; it cannot bill programs with dynamically adjusted parameters during operation (intelligent wash and dry modes); and under dynamic billing, it cannot effectively estimate order prices for users, leading to a poor user experience. Summary of the Invention

[0003] To overcome the aforementioned shortcomings, this application is proposed to provide a solution, or at least a partial solution, to the technical problem that existing methods result in a poor user experience due to charging according to a pre-set method. This application provides a billing method, apparatus, and medium for a garment processing device.

[0004] In a first aspect, this application provides a billing method for a garment processing device, applied in the cloud, the method comprising:

[0005] Obtain the billing basic information of the clothing processing equipment, which includes at least one of the following: equipment operating mode, equipment operating parameters, current clothing weight, and current season type;

[0006] An initial price is generated based on the aforementioned billing information and sent to the user;

[0007] After the user places an order based on the initial price and the clothing processing equipment finishes operating, the actual water and electricity consumption of the clothing processing equipment and the equipment's operating time are obtained.

[0008] The final price is generated based on the actual water and electricity consumption of the clothing processing equipment, the equipment's operating time, and the initial price.

[0009] In one embodiment of the billing method for the garment processing equipment of this application, generating an initial price based on the billing basis information includes:

[0010] Obtain the base pricing corresponding to the device's operating mode;

[0011] The energy consumption coefficient is obtained based on the equipment operating parameters;

[0012] Calculate the weight coefficient based on the current weight of the clothing;

[0013] Obtain the seasonal coefficient based on the current season type;

[0014] The initial price is determined based on the product of the base price, the energy consumption coefficient, the weight coefficient, and the seasonal coefficient.

[0015] In one embodiment of the billing method for the clothing processing equipment of this application, when the clothing processing equipment is a washing machine and the equipment operation mode is normal operation mode, the equipment operation parameters include water temperature;

[0016] The process of obtaining the energy consumption coefficient based on the equipment operating parameters includes:

[0017] When the water temperature is lower than a first temperature threshold, a first energy consumption coefficient corresponding to the water temperature is obtained; when the water temperature is greater than or equal to the first temperature threshold and less than a second temperature threshold, a second energy consumption coefficient corresponding to the water temperature is obtained; when the water temperature is greater than or equal to the second temperature threshold, a third energy consumption coefficient corresponding to the water temperature is obtained, wherein the first energy consumption coefficient is less than the second energy consumption coefficient, and the second energy consumption coefficient is less than the third energy consumption coefficient.

[0018] In one embodiment of the billing method for the clothing processing equipment of this application, when the clothing processing equipment is a dryer and the equipment operation mode is normal operation mode, the equipment operation parameters include drying temperature;

[0019] The process of obtaining the energy consumption coefficient based on the equipment operating parameters includes:

[0020] When the drying temperature is lower than the third temperature threshold, a fourth energy consumption coefficient corresponding to the drying temperature is obtained; when the drying temperature is greater than or equal to the third temperature threshold and less than the fourth temperature threshold, a fifth energy consumption coefficient corresponding to the drying temperature is obtained; when the drying temperature is greater than or equal to the fourth temperature threshold, a sixth energy consumption coefficient corresponding to the drying temperature is obtained, wherein the third temperature threshold is greater than the first temperature threshold and less than the second temperature threshold, the fourth temperature threshold is greater than the second temperature threshold; the fourth energy consumption coefficient is equal to the first energy consumption coefficient, the fifth energy consumption coefficient is greater than the second energy consumption coefficient and less than the third energy consumption coefficient, and the sixth energy consumption coefficient is greater than the third energy consumption coefficient.

[0021] In one embodiment of the billing method for the clothing processing equipment of this application, when the clothing processing equipment is a washing machine and the equipment operation mode is a smart washing mode, the step of generating an initial price based on the billing base information includes:

[0022] Obtain the unit price per unit weight corresponding to the current weight of the clothing;

[0023] The equipment coefficients are obtained based on the equipment operating parameters.

[0024] Obtain the seasonal coefficient based on the current season type;

[0025] The initial price is determined based on the unit price per weight, the equipment coefficient, and the seasonal coefficient.

[0026] In one embodiment of the billing method for the garment processing equipment of this application,

[0027] When the clothing processing equipment is a dryer and the equipment is operating in smart mode, the generation of the initial price based on the billing information includes:

[0028] Calculate the weight-temperature combined price based on the current weight of the clothing and the operating parameters of the equipment;

[0029] The duration price is obtained based on the equipment's operating parameters;

[0030] Obtain the seasonal coefficient based on the current season type;

[0031] The initial price is determined based on the product of the combined price, the duration price, and the seasonal coefficient.

[0032] In one embodiment of the billing method for the clothing processing equipment of this application, the step of generating a final price based on the actual water and electricity consumption of the clothing processing equipment, the equipment operating time, and the initial price includes:

[0033] The upper and lower price limits are determined based on the initial price.

[0034] The actual cost is determined based on the actual water and electricity consumption and the equipment operating time.

[0035] If the actual cost is within the range of [lower price limit, upper price limit], then the actual cost will be used as the final price;

[0036] If the actual cost is less than the lower limit price, then the lower limit price will be used as the final price.

[0037] If the actual cost is greater than the upper limit price, then the upper limit price will be used as the final price.

[0038] In a second aspect, a billing method for a garment processing device is provided, applied to the garment processing device, the method comprising:

[0039] The garments to be processed are weighed to obtain their current weight and sent to the cloud, so that the cloud generates an initial price based on the current weight of the garments.

[0040] Receive at least one of the following from the cloud: device operating mode, device operating parameters, and current season type;

[0041] The garment processing equipment is operated based on at least one of the equipment operation mode, equipment operation parameters, and current season type;

[0042] After the clothing processing equipment finishes operating, the actual water and electricity consumption and the equipment's operating time are collected and sent to the cloud, so that the cloud can generate a final price based on the actual water and electricity consumption, the equipment's operating time, and the initial price.

[0043] In a third aspect, a smart device is provided, comprising:

[0044] At least one processor;

[0045] And, a memory communicatively connected to the at least one processor;

[0046] The memory stores a computer program, which, when executed by the at least one processor, is the aforementioned billing method for the clothing processing device.

[0047] In a fourth aspect, a computer-readable storage medium is provided, wherein a plurality of program codes are stored therein, the program codes being adapted to be loaded and run by a processor to perform the billing method of the clothing handling device described in any of the preceding claims.

[0048] The above-described technical solutions of this application have at least one or more of the following beneficial effects:

[0049] The billing method for the garment processing equipment in this application includes: obtaining basic billing information for the garment processing equipment; generating an initial price based on the basic billing information and sending it to the user; after the user places an order based on the initial price and the equipment finishes running, obtaining the actual water and electricity consumption and the equipment's running time; and generating a final price based on the actual water and electricity consumption, the equipment's running time, and the initial price. By first obtaining the basic billing information, generating an initial price, and informing the user, this method solves the pain point of users not being able to know the price in advance in dynamic billing scenarios, ensuring transparency and a better experience. Furthermore, by generating a final price after the garment processing equipment has finished running, combining the actual water and electricity consumption and the running time with reference to the initial price, this method breaks the limitations of traditional fixed pricing, achieving accurate billing for dynamically adjusted programs such as smart washing and drying, while also considering billing flexibility and fairness, effectively compensating for the shortcomings of traditional models. Attached Figure Description

[0050] The disclosure of this application will become more readily understood with reference to the accompanying drawings. It will be readily understood by those skilled in the art that these drawings are for illustrative purposes only and are not intended to limit the scope of protection of this application. Furthermore, similar numbers in the drawings are used to denote similar components, wherein:

[0051] Figure 1 This is a schematic diagram of the main flow of the billing method for a clothing processing device in one embodiment of this application;

[0052] Figure 2 This is a flowchart illustrating the billing method for a clothes dryer in one embodiment of this application;

[0053] Figure 3 This is a schematic diagram of the main structure of the billing device of the clothing processing equipment in one embodiment of this application;

[0054] Figure 4 This is a schematic diagram of the structure of a smart device in one embodiment of this application. Detailed Implementation

[0055] Some embodiments of this application are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of this application and are not intended to limit the scope of protection of this application.

[0056] In the description of this application, "module" and "processor" can include hardware, software, or a combination of both. A module can include hardware circuitry, various suitable sensors, communication ports, memory, and can also include software components, such as program code, or a combination of software and hardware. A processor can be a central processing unit, microprocessor, image processor, digital signal processor, or any other suitable processor. The processor has data and / or signal processing capabilities. The processor can be implemented in software, in hardware, or a combination of both. Non-transitory computer-readable storage media includes any suitable medium capable of storing program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random access memory, etc. The term "A and / or B" means all possible combinations of A and B, such as only A, only B, or A and B. The terms "at least one A or B" or "at least one of A and B" have a similar meaning to "A and / or B" and can include only A, only B, or A and B. The singular terms "a" or "this" can also include plural forms.

[0057] Currently, most traditional shared laundry facilities adopt a scan-to-order, pay-for-laundry model; businesses set different fixed prices for different washing and drying programs. This method has the following main problems: it cannot dynamically calculate billing based on the actual electricity, water, and time consumed by the equipment, resulting in poor billing flexibility; it cannot calculate billing for programs with dynamically adjusted parameters during operation (intelligent washing and drying mode); and under dynamic billing, it cannot effectively estimate the order price for users, leading to a poor user experience. Therefore, this application proposes a billing method, equipment, and medium for garment processing equipment.

[0058] See appendix Figure 1 , Figure 1 This is a schematic diagram of the main process of a billing method for a clothing processing device according to an embodiment of this application.

[0059] like Figure 1 As shown, the billing method for the clothing processing equipment in this application embodiment mainly includes the following steps S10-S40.

[0060] Step S10: Obtain the basic billing information for the garment processing equipment.

[0061] Step S20: Generate an initial price based on the billing information and send it to the user.

[0062] Step S30: After the user places an order based on the initial price and the clothing processing equipment finishes operating, obtain the actual water and electricity consumption of the clothing processing equipment and the equipment operating time.

[0063] Step S40: Generate a final price based on the actual water and electricity consumption of the clothing processing equipment, the equipment operating time, and the initial price.

[0064] Based on steps S10-S40 above, the billing basic information of the clothing processing equipment is first obtained; an initial price is generated based on the billing basic information and sent to the user; after the user places an order based on the initial price and the equipment finishes running, the actual water and electricity consumption and the equipment's running time are obtained; and a final price is generated based on the actual water and electricity consumption, the equipment's running time, and the initial price. By first obtaining the billing basic information, generating an initial price, and informing the user, the pain point of users not being able to know the price in advance in dynamic billing scenarios is solved, ensuring consumer transparency and experience; and after the equipment finishes running, the final price is generated by combining the actual water and electricity consumption and the running time with reference to the initial price, breaking the limitations of traditional fixed pricing, achieving accurate billing for dynamically adjusted programs such as smart washing and drying, while taking into account billing flexibility and fairness, effectively making up for the shortcomings of the traditional model.

[0065] It should be noted that the billing method for the clothing processing equipment in this embodiment is applied to the cloud or cloud server (i.e., the merchant cloud platform). There is bidirectional data transmission between the cloud, the clothing processing equipment, and the user's terminal device. On the one hand, the clothing processing equipment needs to upload data such as pre-weighing data, actual water and electricity consumption, and running time to the cloud in real time to provide raw data for billing. The user's terminal device (such as a mobile phone or tablet) needs to send instructions such as the user's selected operating mode and operating parameters to the cloud and receive the initial price and final price from the cloud. On the other hand, the cloud needs to push price notifications and order status to the user's terminal device.

[0066] The following provides further explanation of steps S10 to S40.

[0067] Regarding step S10 above, the billing basic information includes at least one of the following: device operating mode, device operating parameters, current clothing weight, and current season type; the device operating mode includes normal operating mode and smart operating mode; when the clothing processing device is a dryer, the smart operating mode is the "stop when clothes are dry" mode; when the clothing processing device is a washing machine, the smart operating mode is the "smart washing" mode.

[0068] The equipment operates in two modes: normal and intelligent. Normal mode is a mode with fixed program parameters, while intelligent mode can dynamically adjust parameters during operation and intelligently adapt to the parameters during the washing process.

[0069] The smart operation mode needs to be differentiated based on the type of equipment. Specifically, for dryers, the smart operation mode is a "stop when clothes are dry" mode, which dynamically adjusts the operation mode according to the actual dryness of the clothes; for washing machines, the smart operation mode is a "smart wash" mode, which intelligently generates washing parameters based on the weight and material of the clothes to ensure that the mode definition accurately matches the equipment function.

[0070] Equipment operating parameters may include the water temperature of a washing machine or the drying temperature of a dryer.

[0071] The current season types include spring, summer, autumn, and winter.

[0072] For example, the cloud can obtain the device operating mode, device operating parameters and current season type from the user's terminal device, and obtain the current weight of the clothing from the clothing processing device.

[0073] The above is a further explanation of step S10. Step S20 will be further explained below.

[0074] Specifically, when the equipment is in normal operating mode, the above step S20 can be implemented through the following steps S201 to S205.

[0075] Step S201: Obtain the basic pricing corresponding to the device's operating mode.

[0076] The base price is a benchmark price directly tied to the equipment's operating mode. It serves as the starting point for initial price calculations and is pre-set by the merchant based on different equipment operating modes.

[0077] Specifically, the cloud pre-stores a basic pricing table for each operating mode of the device (including normal operating mode and smart operating mode). When the user selects the device's operating mode, the cloud automatically matches and extracts the corresponding basic price from the basic pricing table. For example, if the device is a washing machine and the user selects the normal operating mode, the basic price for this mode is 10 yuan; if the device is a dryer and the user selects the smart operating mode, the basic price for this mode is 15 yuan.

[0078] Step S202: Obtain the energy consumption coefficient based on the equipment operating parameters.

[0079] The energy consumption coefficient is a coefficient determined based on the equipment's operating parameters and used to adjust the base price, reflecting the impact of these parameters on the equipment's energy consumption.

[0080] When the clothing processing device is a washing machine and the device is in normal operation mode, the device operating parameters include water temperature; obtaining the energy consumption coefficient based on the device operating parameters includes: obtaining a first energy consumption coefficient corresponding to the water temperature when the water temperature is lower than a first temperature threshold; obtaining a second energy consumption coefficient corresponding to the water temperature when the water temperature is greater than or equal to the first temperature threshold and less than a second temperature threshold; obtaining a third energy consumption coefficient corresponding to the water temperature when the water temperature is greater than or equal to the second temperature threshold, wherein the first energy consumption coefficient is less than the second energy consumption coefficient, and the second energy consumption coefficient is less than the third energy consumption coefficient.

[0081] The first and second temperature thresholds are pre-set temperature judgment ranges, which can be adaptively adjusted according to the actual scenario, and are not specifically limited. For example, 30°C can be used as an example of the first temperature threshold, and 60°C can be used as an example of the second temperature threshold.

[0082] The first, second, and third energy consumption coefficients are values ​​obtained in advance based on experiments. They can be adaptively adjusted according to the actual scenario, and no specific limitations are imposed. For example, 1.0 can be used as an example of the first energy consumption coefficient, 1.2 as an example of the second energy consumption coefficient, and 1.5 as an example of the third energy consumption coefficient.

[0083] For example, when the water temperature in the washing machine is 30°C or below, the first energy consumption coefficient is 1.0; when the water temperature in the washing machine is between 30°C and 60°C, the second energy consumption coefficient is 1.2; and when the water temperature in the washing machine is above 60°C, the third energy consumption coefficient is 1.5.

[0084] When the clothing processing equipment is a dryer and the equipment is in normal operation mode, the equipment operating parameters include drying temperature; obtaining the energy consumption coefficient based on the equipment operating parameters includes: obtaining a fourth energy consumption coefficient corresponding to the drying temperature when the drying temperature is lower than a third temperature threshold; obtaining a fifth energy consumption coefficient corresponding to the drying temperature when the drying temperature is greater than or equal to the third temperature threshold and less than the fourth temperature threshold; obtaining a sixth energy consumption coefficient corresponding to the drying temperature when the drying temperature is greater than or equal to the fourth temperature threshold, wherein the third temperature threshold is greater than the first temperature threshold and less than the second temperature threshold, the fourth temperature threshold is greater than the second temperature threshold; the fourth energy consumption coefficient is equal to the first energy consumption coefficient, the fifth energy consumption coefficient is greater than the second energy consumption coefficient and less than the third energy consumption coefficient, and the sixth energy consumption coefficient is greater than the third energy consumption coefficient.

[0085] The third and fourth temperature thresholds are pre-set temperature judgment ranges, which can be adaptively adjusted according to the actual scenario, and are not specifically limited. For example, 40°C can be used as an example of the third temperature threshold, and 70°C can be used as an example of the fourth temperature threshold.

[0086] The fourth, fifth, and sixth energy consumption coefficients are values ​​obtained in advance based on experiments. They can be adaptively adjusted according to the actual scenario, and no specific limitations are imposed on them. For example, 1.0 can be used as an example of the fourth energy consumption coefficient, 1.3 as an example of the fifth energy consumption coefficient, and 1.6 as an example of the sixth energy consumption coefficient.

[0087] For example, when the drying temperature of the dryer is 40°C or below, the fourth energy consumption coefficient is 1.0; when the drying temperature of the dryer is between 40°C and 70°C, the fifth energy consumption coefficient is 1.3; and when the drying temperature of the dryer is above 70°C, the sixth energy consumption coefficient is 1.6.

[0088] Step S203: Obtain the weight coefficient based on the current weight of the clothing.

[0089] The weight factor is a coefficient determined based on the current weight of the clothing. It reflects the impact of clothing weight on the operating load and energy consumption of the equipment. The heavier the clothing, the larger the coefficient.

[0090] Specifically, the cloud pre-sets a mapping table between clothing weight ranges and weight coefficients. After obtaining the current weight of the clothing through the device's pre-weighing function, it determines the weight range and matches the corresponding coefficient. For example, if the pre-weighing shows a clothing weight of 3kg (belonging to the 2kg-5kg range), the matching weight coefficient is 1.3; if the pre-weighing shows a clothing weight of 1kg (≤2kg range), the matching coefficient is 1.0.

[0091] Step S204: Obtain the seasonal coefficient based on the current seasonal type.

[0092] The seasonal coefficient is a coefficient determined based on the current seasonal type to balance the differences in water and electricity consumption costs across different seasons. For example, the seasonal coefficient for winter can be 1.2 to 1.5, the seasonal coefficient for summer can be 0.8 to 1.0, and the seasonal coefficient for spring and autumn can be 1.0.

[0093] Specifically, the cloud pre-sets the correspondence between season types and season coefficients, and determines the current season type based on real-time ambient temperature or the season information selected by the user, so as to match the corresponding season coefficient.

[0094] Step S205: Determine the initial price based on the base pricing, the energy consumption coefficient, the weight coefficient, and the seasonal coefficient.

[0095] For example, the initial price can be the product of the base price and the energy consumption coefficient, weight coefficient, and seasonal coefficient. Alternatively, corresponding weight percentages can be pre-set for the base price, energy consumption coefficient, weight coefficient, and seasonal coefficient. For instance, if the base weight is 40%, the energy consumption weight is 30%, the weight weight is 20%, and the seasonal weight is 10%, then the initial price = (base price × base weight) + (base price × energy consumption coefficient × energy consumption weight) + (base price × weight coefficient × weight weight) + (base price × seasonal coefficient × seasonal weight).

[0096] Specifically, when the clothing processing device is a washing machine and the device is operating in smart washing mode, the above step S20 can be achieved through the following steps S206 to S209.

[0097] Step S206: Obtain the unit price per unit weight corresponding to the current weight of the clothing.

[0098] Specifically, the current weight of the clothing can be used as the core variable to set a unit price per kilogram. This unit price can be adjusted adaptively according to the actual scenario, without any specific limitations. For example, if the current weight of the clothing is less than 1 kg, the unit price per kilogram is 5 yuan, and for every additional kilogram, the unit price per kilogram increases by 3 yuan.

[0099] Step S207: Obtain the equipment coefficient based on the equipment operating parameters.

[0100] The equipment operating parameter can be the number of rinsing cycles, in which case the equipment coefficient is the rinsing coefficient. The rinsing coefficient can be dynamically adjusted based on the equipment operating parameters. For example, when the number of rinsing cycles is 1, the rinsing coefficient is 1.0; when the number of rinsing cycles is 2, the rinsing coefficient is 1.2; and when the number of rinsing cycles is 3 or more, the rinsing coefficient is 1.4.

[0101] Step S208: Obtain the seasonal coefficient based on the current seasonal type.

[0102] The seasonal coefficient is a coefficient determined based on the current seasonal type to balance the differences in water and electricity consumption costs across different seasons. For example, the seasonal coefficient for winter can be 1.2 to 1.5, the seasonal coefficient for summer can be 0.8 to 1.0, and the seasonal coefficient for spring and autumn can be 1.0.

[0103] Specifically, the cloud pre-sets the correspondence between season types and season coefficients, and determines the current season type and matches the corresponding season coefficient based on real-time ambient temperature or the season information selected by the user.

[0104] Step S209: Determine the initial price based on the unit price per weight, the equipment coefficient, and the seasonal coefficient.

[0105] For example, the initial price can be the product of the unit price per unit weight and the equipment coefficient and seasonal coefficient.

[0106] Specifically, when the clothing processing equipment is a dryer and the equipment is in smart operation mode, the above step S20 can be implemented by the following steps S210 to S213.

[0107] Step S210: Obtain the weight-temperature combined price based on the current weight of the clothing and the operating parameters of the equipment.

[0108] The drying temperature in a dryer can be used as an example of the operating parameters of the device.

[0109] Specifically, the current weight of the clothes and the drying temperature can be used as the core variables to set a combined weight-temperature price. For example, if the current weight of the clothes is less than 1kg and the drying temperature is less than or equal to 50℃, the combined price is 6 yuan; if the current weight of the clothes is less than 1kg and the drying temperature is greater than 50℃, the combined price is 8 yuan; for every additional 1kg of clothing weight, the unit price for the corresponding temperature range increases by 4 yuan.

[0110] Step S211: Obtain the duration price based on the equipment operating parameters.

[0111] The expected drying time can be used as an example of the operating parameters of the equipment.

[0112] Specifically, the preset drying time can be derived from the current load of clothes and the drying temperature, or obtained through experience. For example, for 3kg of clothes at 50°C, the estimated time is 2 hours.

[0113] Specifically, the time-based price for a drying scenario can be obtained based on the estimated drying time. This time-based price can be a pre-set value, which can be adjusted adaptively according to the actual scenario. For example, 2 yuan per hour can be used as an example of the time-based price.

[0114] Step S212: Obtain the seasonal coefficient based on the current seasonal type.

[0115] The seasonal coefficient is a coefficient determined based on the current seasonal type to balance the differences in water and electricity consumption costs across different seasons. For example, the seasonal coefficient for winter can be 1.2 to 1.5, the seasonal coefficient for summer can be 0.8 to 1.0, and the seasonal coefficient for spring and autumn can be 1.0.

[0116] Specifically, the cloud pre-sets the correspondence between season types and season coefficients, and determines the current season type and matches the corresponding season coefficient based on real-time ambient temperature or the season information selected by the user.

[0117] Step S213: Determine the initial price based on the joint price, the duration price, and the seasonal coefficient.

[0118] Specifically, first, the product of the preset drying time and the time price is determined, then it is summed with the joint price, and the product of the summation result and the seasonal coefficient is used as the initial price.

[0119] The above steps allow for a dynamic and accurate determination of the initial price, which helps improve the user experience.

[0120] The above is a further explanation of step S20. Step S30 will be further explained below.

[0121] Regarding step S30 above, after the user has placed an order based on the previously generated initial price and the device has completed the washing and drying operation, the cloud will collect and obtain the actual water and electricity consumption in real time through the sensors or IoT modules of the clothing processing device (the washing machine needs to collect both electricity and water consumption, while the dryer only collects electricity consumption since it does not consume water), as well as the complete running time of the device from start to stop. This actual data is the core basis for subsequent accurate calculation of the final price, which is independent of the initial estimate. It can effectively avoid the problem of the disconnect between traditional fixed pricing and actual consumption, and is compatible with both ordinary fixed mode and smart mode, providing support for billing.

[0122] The above is a further explanation of step S30. Step S40 will be further explained below.

[0123] Specifically, step S40 can be implemented through steps S401 to S405.

[0124] Step S401: Determine the upper limit price and the lower limit price based on the initial price.

[0125] Specifically, the upper and lower price limits can be determined according to a preset ratio, which can be adjusted adaptively according to the actual scenario. For example, 20% can be used as an example of the preset ratio, then the upper price limit = initial price × (1 + preset ratio), and the lower price limit = initial price × (1 - preset ratio).

[0126] Step S402: Determine the actual cost based on the actual water and electricity consumption and the equipment operating time.

[0127] Specifically, the actual cost = (actual electricity consumption × unit electricity price) + (actual water consumption × unit water price) + (actual running time × unit time price), where the actual water consumption is zero if the dryer does not consume water.

[0128] Step S403: If the actual cost is within the range of the [lower limit price, upper limit price], then the actual cost is used as the final price.

[0129] Specifically, if the actual cost is within the range of [lower price limit, upper price limit], the final price equals the actual cost, which ensures fairness in billing based on actual consumption and meets the user's expectations for the initial price.

[0130] Step S404: If the actual cost is less than the lower limit price, then the lower limit price is used as the final price.

[0131] Specifically, if the actual cost is less than the lower limit price, the final price is equal to the lower limit price. This avoids losses to merchants due to equipment malfunctions or extremely low power consumption scenarios, while the user's payment is still lower than the initial price, resulting in a good user experience.

[0132] Step S405: If the actual cost is greater than the upper limit price, then the upper limit price is taken as the final price.

[0133] Specifically, when the actual cost exceeds the upper limit price, the final price will be equal to the upper limit price. This avoids situations where users pay far more than expected due to equipment failure or high-consumption scenarios, thus ensuring users' sense of security in their consumption.

[0134] By setting upper and lower limits for the initial price to construct an expected safety zone, calculating the actual cost based on actual water and electricity consumption and operating time, and then determining the final price through interval rules, this approach achieves a precise link between billing and the actual operating cost of the equipment, avoiding the one-size-fits-all defects of fixed pricing. Furthermore, by controlling the price fluctuation range through upper and lower limit constraints, it prevents user payment anxiety and unstable merchant revenue caused by excessively high or low actual costs. This approach balances billing fairness, user experience stability, and commercial feasibility, and is particularly suitable for complex billing scenarios under dynamic parameter adjustment modes such as smart washing and drying, significantly outperforming traditional billing methods.

[0135] The following will provide a detailed explanation of the actual interaction mode of the billing method for the clothing processing equipment in this application, using examples.

[0136] For clothes dryers, once the user selects and confirms the "dry and stop" mode, the merchant cloud platform forwards the smart drying command to the IoT cloud platform. The IoT cloud platform then sends this command to the clothing processing device. At this point, the device enters the pre-weighing and temperature mode intelligent selection phase, reporting the weight and program parameters (such as temperature and duration) to the IoT cloud platform. After receiving the data reported by the device through the IoT cloud platform, the merchant cloud platform provides a standard estimated price (not the final price) based on the weight of the clothes, drying temperature, and estimated time. After the user confirms the order, the merchant cloud platform sends a start command, and the device starts running. The merchant cloud platform synchronizes the timing based on the actual operating data reported by the device, and finally, based on the actual power consumption and drying time, provides the final price for this order and sends it to the user's terminal device, whereby the user then makes the payment.

[0137] For washing machines, specifically as follows Figure 2 As shown, when a user selects the smart wash mode, the device first pre-weighs the clothes and reports the current weight of the clothes and the device's operating parameters to the IoT cloud platform. The merchant cloud platform obtains the current weight of the clothes and the device's operating parameters from the IoT platform and provides a standard estimated price (not the final price) based on the current weight of the clothes and the device's operating parameters. After the device starts running, the merchant cloud platform will simultaneously time and record the washing stage. Finally, based on the actual device running time, water and electricity consumption, and operating stage, the final price of this order is determined and sent to the user's terminal device, and then the user makes the payment.

[0138] Furthermore, this application also provides a billing method for a garment processing device, which is applied to the garment processing device. This method can be specifically implemented through the following steps S50-S80.

[0139] Step S50: Weigh the garment to be processed to obtain the current weight of the garment and send it to the cloud so that the cloud can generate an initial price based on the current weight of the garment.

[0140] Specifically, the garment processing equipment has built-in sensors (such as pressure sensors and weight sensors) to detect the actual weight of the garments to be processed, obtain the current weight of the garments, and send it to the cloud. The cloud then generates an initial price based on the equipment's operating mode, operating parameters, current garment weight, and current season type. For details on how the cloud generates the initial price based on the equipment's operating mode, operating parameters, current garment weight, and current season type, please refer to step S20 above, which will not be repeated here.

[0141] Step S60: Receive at least one of the following from the cloud: device operating mode, device operating parameters, and current season type.

[0142] Specifically, an initial price is generated in the cloud based on at least one of the following: device operating mode, device operating parameters, current clothing weight, and current season type, and then sent to the user. After the user confirms the price, the cloud sends at least one of the following to the clothing processing device: device operating mode, device operating parameters, and current season type.

[0143] Step S70: Operate the clothing processing equipment based on at least one of the equipment operation mode, equipment operation parameters, and current season type.

[0144] For example, the garment handling equipment executes a program corresponding to the equipment operating mode, equipment operating parameters, and the current season type.

[0145] Step S80: After the clothing processing equipment finishes operating, collect the actual water and electricity consumption of the clothing processing equipment and the equipment operating time and send them to the cloud, so that the cloud can generate a final price based on the actual water and electricity consumption of the clothing processing equipment, the equipment operating time and the initial price.

[0146] Specifically, after the garment processing equipment finishes operating, its own metering modules (such as electricity metering modules and water flow meters) collect the actual water and electricity consumption during the equipment's operation, as well as the equipment's operating time, and send this data to the cloud. The cloud then generates the final price based on the actual water and electricity consumption, the equipment's operating time, and the initial price. The specific steps by which the cloud generates the final price based on the actual water and electricity consumption, the equipment's operating time, and the initial price can be found in step S40 above, and will not be repeated here.

[0147] The garment processing equipment ensures the accurate collection and uploading of core data (such as current garment weight, actual water and electricity consumption, and runtime), providing a reliable basis for generating initial and final prices in the cloud. By receiving operating instructions from the cloud, it achieves deep integration of equipment operation and billing logic, ensuring the adaptability of billing in dynamic scenarios such as smart operation modes. At the same time, it avoids billing errors caused by insufficient local computing power of the equipment, ultimately improving the accuracy, collaborative efficiency, and user experience of the overall billing process.

[0148] It should be noted that although the steps in the above embodiments are described in a specific order, those skilled in the art will understand that in order to achieve the effect of this application, different steps do not necessarily have to be executed in such an order. They can be executed simultaneously (in parallel) or in other orders, and these variations are all within the scope of protection of this application.

[0149] Furthermore, this application also provides a billing device for a garment processing equipment.

[0150] See appendix Figure 3 , Figure 3 This is a main structural block diagram of the billing device of a clothing processing equipment according to an embodiment of this application.

[0151] like Figure 3 As shown, the billing device for the clothing processing equipment in this embodiment mainly includes a first acquisition module 11, a first generation module 12, a second acquisition module 13, and a second generation module 14. In some embodiments, one or more of the first acquisition module 11, the first generation module 12, the second acquisition module 13, and the second generation module 14 can be combined into a single module.

[0152] In some embodiments, the first acquisition module 11 can be configured to acquire the billing basic information of the garment processing device.

[0153] The first generation module 12 can be configured to generate an initial price based on the billing basic information and send it to the user.

[0154] The second acquisition module 13 can be configured to acquire the actual water and electricity consumption and the running time of the clothing processing equipment after the user places an order based on the initial price and the equipment finishes running.

[0155] The second generation module 14 can be configured to generate a final price based on the actual water and electricity consumed by the clothing processing equipment, the equipment's operating time, and the initial price.

[0156] In one implementation, a description of the specific function can be found in steps S10-S40.

[0157] The billing device of the aforementioned garment processing equipment is used for execution Figure 1 The billing method embodiments of the clothing processing equipment shown are similar in technical principle, the technical problems solved and the technical effects produced. Those skilled in the art can clearly understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the billing device of the clothing processing equipment can be referred to the content described in the embodiments of the billing method of the clothing processing equipment, and will not be repeated here.

[0158] Furthermore, it should be understood that since the various modules are only provided to illustrate the functional units of the device described in this application, the physical devices corresponding to these modules may be the processor itself, or a part of the processor's software, hardware, or a combination of both. Therefore, the number of modules shown in the figures is merely illustrative.

[0159] Those skilled in the art will understand that the various modules in the device can be adaptively split or combined. Such splitting or combining of specific modules will not cause the technical solution to deviate from the principles of this application; therefore, the technical solutions after splitting or combining will fall within the protection scope of this application.

[0160] Those skilled in the art will understand that all or part of the processes in the method of the above-described embodiment can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable storage medium can include any entity or device capable of carrying the computer program code, a medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory, a random access memory, an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0161] Furthermore, this application also provides a smart device, which may include at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program, which, when executed by the at least one processor, implements the billing method of the clothing processing device described in any of the above embodiments. See also Figure 4 As shown, Figure 4 The structure of a smart device is illustrated by way of example, which includes a processor 100 and a memory 200.

[0162] Furthermore, this application also provides a computer-readable storage medium. In one embodiment of the computer-readable storage medium according to this application, the computer-readable storage medium can be configured to store a program that executes the billing method of the clothing processing device described in the above-described method embodiments. This program can be loaded and run by a processor to implement the billing method of the clothing processing device described above. For ease of explanation, only the parts related to the embodiments of this application are shown; for specific technical details not disclosed, please refer to the method section of the embodiments of this application. The computer-readable storage medium can be a memory device comprising various clothing processing devices. Optionally, in the embodiments of this application, the computer-readable storage medium is a non-transitory computer-readable storage medium.

[0163] The technical solution of this application has been described in conjunction with the specific embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of this application is obviously not limited to these specific embodiments. Without departing from the principles of this application, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of this application.

Claims

1. A billing method for clothing processing equipment, applied in the cloud, characterized in that, The method includes: Obtain the billing basic information of the clothing processing equipment, which includes at least one of the following: equipment operating mode, equipment operating parameters, current clothing weight, and current season type; An initial price is generated based on the aforementioned billing information and sent to the user; After the user places an order based on the initial price and the clothing processing equipment finishes operating, the actual water and electricity consumption of the clothing processing equipment and the equipment's operating time are obtained. The final price is generated based on the actual water and electricity consumption of the clothing processing equipment, the equipment's operating time, and the initial price.

2. The billing method for the clothing processing equipment according to claim 1, characterized in that, When the device is operating in normal mode, generating an initial price based on the billing information includes: Obtain the base pricing corresponding to the device's operating mode; The energy consumption coefficient is obtained based on the equipment operating parameters; Calculate the weight coefficient based on the current weight of the clothing; Obtain the seasonal coefficient based on the current season type; The initial price is determined based on the base pricing, the energy consumption coefficient, the weight coefficient, and the seasonal coefficient.

3. The billing method for the clothing processing equipment according to claim 2, characterized in that, When the clothing processing equipment is a washing machine, the equipment operating parameters include water temperature; The process of obtaining the energy consumption coefficient based on the equipment operating parameters includes: When the water temperature is lower than a first temperature threshold, a first energy consumption coefficient corresponding to the water temperature is obtained; when the water temperature is greater than or equal to the first temperature threshold and less than a second temperature threshold, a second energy consumption coefficient corresponding to the water temperature is obtained; when the water temperature is greater than or equal to the second temperature threshold, a third energy consumption coefficient corresponding to the water temperature is obtained, wherein the first energy consumption coefficient is less than the second energy consumption coefficient, and the second energy consumption coefficient is less than the third energy consumption coefficient.

4. The billing method for the garment processing equipment according to claim 3, characterized in that, When the clothing processing equipment is a dryer, the equipment operating parameters include drying temperature; The process of obtaining the energy consumption coefficient based on the equipment operating parameters includes: When the drying temperature is lower than the third temperature threshold, a fourth energy consumption coefficient corresponding to the drying temperature is obtained; when the drying temperature is greater than or equal to the third temperature threshold and less than the fourth temperature threshold, a fifth energy consumption coefficient corresponding to the drying temperature is obtained; when the drying temperature is greater than or equal to the fourth temperature threshold, a sixth energy consumption coefficient corresponding to the drying temperature is obtained, wherein the third temperature threshold is greater than the first temperature threshold and less than the second temperature threshold, the fourth temperature threshold is greater than the second temperature threshold; the fourth energy consumption coefficient is equal to the first energy consumption coefficient, the fifth energy consumption coefficient is greater than the second energy consumption coefficient and less than the third energy consumption coefficient, and the sixth energy consumption coefficient is greater than the third energy consumption coefficient.

5. The billing method for the garment processing equipment according to claim 1, characterized in that, When the clothing processing device is a washing machine and the device is operating in smart washing mode, the generation of the initial price based on the billing information includes: Obtain the unit price per unit weight corresponding to the current weight of the clothing; The equipment coefficients are obtained based on the equipment operating parameters. Obtain the seasonal coefficient based on the current season type; The initial price is determined based on the unit price per weight, the equipment coefficient, and the seasonal coefficient.

6. The billing method for the garment processing equipment according to claim 1, characterized in that, When the clothing processing equipment is a dryer and the equipment is operating in smart mode, the generation of the initial price based on the billing information includes: Calculate the weight-temperature combined price based on the current weight of the clothing and the operating parameters of the equipment; The duration price is obtained based on the equipment's operating parameters; Obtain the seasonal coefficient based on the current season type; The initial price is determined based on the combined price, the duration price, and the seasonal coefficient.

7. The billing method for the garment processing equipment according to claim 1, characterized in that, The process of generating the final price based on the actual water and electricity consumption of the clothing processing equipment, the equipment's operating time, and the initial price includes: The upper and lower price limits are determined based on the initial price. The actual cost is determined based on the actual water and electricity consumption and the equipment operating time. If the actual cost is within the range of [lower price limit, upper price limit], then the actual cost will be used as the final price; If the actual cost is less than the lower limit price, then the lower limit price will be used as the final price. If the actual cost is greater than the upper limit price, then the upper limit price will be used as the final price.

8. A billing method for clothing processing equipment, applied to clothing processing equipment, characterized in that, The method includes: The garments to be processed are weighed to obtain their current weight and sent to the cloud, so that the cloud generates an initial price based on the current weight of the garments. Receive at least one of the following from the cloud: device operating mode, device operating parameters, and current season type; The garment processing equipment is operated based on at least one of the equipment operation mode, equipment operation parameters, and current season type; After the clothing processing equipment finishes operating, the actual water and electricity consumption and the equipment's operating time are collected and sent to the cloud, so that the cloud can generate a final price based on the actual water and electricity consumption, the equipment's operating time, and the initial price.

9. A smart device, characterized in that, include: At least one processor; And, a memory communicatively connected to the at least one processor; The memory stores a computer program that, when executed by the at least one processor, implements the billing method for the clothing processing device according to any one of claims 1 to 8.

10. A computer-readable storage medium storing a plurality of program codes, characterized in that, The program code is adapted to be loaded and run by a processor to perform the billing method for the clothing handling device according to any one of claims 1 to 8.

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