Intelligent charging operation system of unattended sleep health preserving cabin
Through the intelligent charging operation system, combined with market data and cloud platform data, the final price of sleep health cabins is scientifically calculated, which solves the problem of lack of scientificity and loss in the existing technology, realizes the market demand and cost matching of prices, and improves the Operational efficiency and profitability.
Patent Information
- Application Number
- CN202411397471.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-09
- Publication Date
- 2025-02-14
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The pricing of existing sleep health cabins is not scientific, and merchants often follow market prices based on experience or blindly, resulting in losses.
Design an intelligent charging operation system, and calculate demand factors, pricing base price, market average price, dynamic price, time period price, competition factor and cost factor through the market data acquisition module, market data analysis module and output unit, combined with cloud platform data , and get the final price.
The pricing is achieved more in line with market demand and costs, avoid losses, and improve the business efficiency and profitability of merchants.
Smart Images

Figure FT_1 
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Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of charging and operating a health-preserving hut, and in particular to an intelligent charging and operating system for an unattended sleep-preserving health-preserving hut. Background Art
[0002] A sleep wellness cabin is a healthy space that focuses on improving sleep quality. It combines modern technology with traditional health concepts to help users get a better sleep experience through a series of facilities and services. The cabin is usually equipped with comfortable beds, equipment to adjust light and temperature, and relaxing ambient sound effects. In addition, services such as sleep consultation, breathing training, and meditation guidance may also be provided. Through these means, the sleep wellness cabin aims to relieve stress, adjust work and rest patterns, improve sleep quality, and thus improve overall health.
[0003] At present, the pricing of sleep and health huts is determined by some merchants based on their own business experience and customized according to different time periods. However, they do not take into account the price trends in the market and their own more reasonable costs. Instead, they blindly follow the prices of their peers in the market to set prices, which leads to their own losses. Summary of the invention
[0004] 1. Technical issues to be solved
[0005] In view of the deficiencies in the prior art, the present invention provides an intelligent charging operation system for unattended sleep and health huts, which has the advantages of preventing merchants from setting prices based on their own experience and blindly following the prices of their peers in the market, resulting in their own losses, thereby solving the above-mentioned problems.
[0006] (II) Technical solution
[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an intelligent charging operation system for an unattended sleep and health care cabin, comprising a market data collection module, a market data analysis module and an output unit;
[0008] The market data collection module is connected to the cloud platform, wherein the market data collection module is composed of a market price collection unit, a market order volume collection unit and a health hut basic data collection unit;
[0009] The market price collection unit is used to collect all current market prices of the same type of health huts in the market, the market order quantity collection unit is used to collect the current order reservation quantity and the historical order reservation quantity for the same period, the health hut basic data collection unit is used to collect the total equipment cost of the health hut and the number of rooms divided into the health hut, and the market data collection module sends the collected current order reservation quantity, the market price of the same type of health huts in the market, the total equipment cost of the health hut and the number of rooms divided into the health hut to the market data analysis module;
[0010] The market analysis module calculates the demand factor of the health hut in the current market based on the current order reservation quantity and the historical order reservation quantity for the same period. The market analysis module calculates the pricing base price based on the total equipment cost of the health hut and the number of rooms into which the health hut is divided. The market analysis module calculates the current market average price based on all current market prices. The market analysis module calculates the dynamic price based on the calculated demand factor and the pricing base price. After the dynamic price is calculated, it is combined with the pricing base price according to the market off-season and peak season to calculate the time period price. The market analysis module calculates the competition factor based on the calculated dynamic price and the market average price. After the competition factor is calculated, the market analysis module calculates the market competition price based on the competition factor and the time period price. The market analysis module calculates the cost factor based on the total equipment cost and the pricing base price, and calculates the final price of the health hut based on the cost factor and the market competition price.
[0011] After the final price of the health hut is calculated, the market analysis module sends it to the output unit;
[0012] The output unit is used to display the final price of the health hut and upload the final price of the health hut to various online platforms.
[0013] Preferably, the demand factor calculation expression is as follows:
[0014]
[0015] In the formula, XQ represents the demand factor, xdd represents the current order quantity, ldd represents the historical order quantity for the same period, and -1 represents the The ratio of the current order booking volume to the historical order booking volume during the same period minus 1 is the deviation value from the historical order booking volume, which is the demand factor.
[0016] Preferably, the calculation expression of the pricing base price is as follows:
[0017]
[0018] In the formula, cb represents the total equipment cost of the health hut, and sl represents the number of rooms in the health hut. It represents the minimum price required to maintain the health hut without making a loss, which is the base price. Jcj represents the base price.
[0019] Preferably, the current market average price calculation expression is as follows:
[0020]
[0021] In the formula, SCjj represents the current market average price, and Scj represents the market price of the same type of health huts in the market. The n in the above indicates that there are n market prices Scj of the same type of health-care huts collected from the market. i=1 indicates that the market prices Scj of the same type of health-care huts in the market are calculated starting from the first data and ending at the nth data. It means to find the average of the summed results, which is the current market average price SCjj.
[0022] Preferably, the dynamic price calculation expression is as follows:
[0023] DTJ=Jcj*(1+XQ)
[0024] In the formula, the demand factor and the pricing base price are combined to calculate the adjusted price based on the current market demand. The 1 in 1+XQ represents 100% of the pricing base price. When the demand factor is 0, it means that the market demand has not changed. When the demand factor is positive, it means that the market demand has increased, and the pricing needs to be increased by multiples. When the demand factor is negative, it means that the market demand is negative, and the pricing needs to be reduced by multiples. DTJ represents dynamic price.
[0025] Preferably, the period price calculation expression is as follows:
[0026] SDJ=DTJ*(1+sxs)
[0027] In the formula, SDJ represents the time period price, sxs represents the time coefficient, and the value is a constant term, and 0 <sxs≤0.5。
[0028] Preferably, the competition factor calculation expression is as follows:
[0029]
[0030] In the formula, JZ represents the competitive factor, SCjj-DTJ represents the competitiveness of the health hut under the current market conditions, and dividing it by the current market average price SCjj represents converting the two price differences into relative values, which is the competitive factor JZ.
[0031] Preferably, the market competition price calculation expression is as follows:
[0032] JZJ=SDJ*(1+JZ)
[0033] In the formula, SDJ*(1+JZ) represents the value obtained by adjusting the market's peak and off-season periods based on the pressure of the current market competition environment, which is the market competition price, and JZJ represents the market competition price.
[0034] Preferably, the cost factor calculation expression is as follows:
[0035]
[0036] In the formula, CBY represents the cost factor, cb-Jcj represents the difference between the total equipment cost of the health hut and the pricing base price. When the difference is positive, it means that the total equipment cost is higher than the pricing base price and the cost has increased. When the difference is negative, it means that the total equipment cost is lower than the pricing base price and the cost has decreased. When the difference is zero, it means that the total equipment cost is equal to the pricing base price. Dividing it by the pricing base price means converting the difference into the ratio of the difference to the pricing base price, which is the cost factor CBY.
[0037] Preferably, the final price calculation expression of the health hut is as follows:
[0038] ZJ=JZJ*(1+CBY)
[0039] In the formula, (1+CBY) represents the proportion of the cost factor added to the market competitive price, and the product obtained by multiplying the market competitive price is used as the final price of the health hut, and ZJ represents the final price of the health hut.
[0040] Compared with the prior art, the present invention provides an intelligent charging operation system for an unattended sleep and health care cabin, which has the following beneficial effects:
[0041] The present invention obtains the changes of various data in the market where the health hut is located, the total equipment cost and the number of rooms of the health hut from the cloud platform, calculates the corresponding factors and prices according to these data, and obtains the cost factor and the market competition price to obtain the final price of the health hut, fully combines the influence of market price changes and changes in off-season and peak-season time periods on the pricing of the health hut, and combines with the actual cost factor of the health hut to obtain the final price of the health hut, so that the price is more in line with market demand and pricing changes, and avoids merchants setting prices based on their own experience and blindly following the prices of market peers, which leads to their own losses. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION
[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0044] See also Figure 1 , an intelligent charging operation system for an unattended sleep and health care cabin, comprising a market data collection module, a market data analysis module and an output unit;
[0045] The market data collection module is connected to the cloud platform and is used to obtain various data about the sleep and health hut in the cloud platform. The market data collection module consists of a market price collection unit, a market order volume collection unit and a health hut basic data collection unit.
[0046] The market price collection unit is used to collect all current market prices of the same type of health cabins in the market. The market order quantity collection unit is used to collect the current order reservation quantity and the historical order reservation quantity for the same period. The health cabin basic data collection unit is used to collect the total equipment cost of the health cabin and the number of rooms in the health cabin.
[0047] After the market data collection module collects these data, it sends them to the market data analysis module connected to it. After receiving these data, the market data analysis module calculates the demand factor of the health hut in the current market based on the current order reservation volume and the historical order reservation volume in the same period. The calculation expression is as follows:
[0048]
[0049] In the formula, XQ represents the demand factor, xdd represents the current order quantity, ldd represents the historical order quantity for the same period, and -1 represents the The ratio of the current order booking volume to the historical order booking volume during the same period minus 1 is the deviation value from the historical order booking volume during the same period, which is the demand factor. By calculating the demand factor, we can objectively reflect the changes in the demand for sleep and wellness huts in the market.
[0050] The base price is calculated based on the total cost of the equipment used to collect the health hut and the number of rooms the health hut is divided into. The calculation expression is as follows:
[0051]
[0052] In the formula, cb represents the total equipment cost of the health hut, and sl represents the number of rooms in the health hut. It represents the lowest price to maintain the profitability of the health preservation hut, which is the basic pricing. Jcj represents the basic pricing. By calculating the basic pricing, the lowest price that can cover the costs of the current health preservation hut is determined to ensure no losses occur.
[0053] Calculate the current market average price based on all current market prices. Its calculation formula is:
[0054]
[0055] In the formula, SCjj represents the current market average price, Scj represents the market price of the same type of health preservation hut in the market. Here, n represents the number of market prices Scj of the same type of health preservation hut collected. i = 1 means starting from the first data among the n market prices Scj of the same type of health preservation hut and calculating up to the nth data. represents taking the average of the summed results, which is the current market average price SCjj. By calculating the current market average price, the general price of the same type of health preservation hut in the current market can be obtained, which can be used as one of the reference bases for subsequent pricing of the current health preservation hut.
[0056] Calculate the dynamic price based on the calculated demand factor and the basic pricing. Its calculation formula is as follows:
[0057] DTJ = Jcj * (1 + XQ)
[0058] In the formula, the demand factor and the basic pricing are combined to calculate the adjusted price based on the current market demand. The 1 in 1 + XQ represents 100% of the basic pricing. When the demand factor is 0, it means there is no change in the market demand. When the demand factor is positive, it means the market demand is increasing, and the multiple by which the pricing needs to increase is obtained. When the demand factor is negative, it means the market demand is negative, and the multiple by which the pricing needs to decrease is obtained. DTJ represents the dynamic price.
[0059] Calculate the time period price by combining the time period of the off-peak and peak seasons of the market with the basic pricing. Its calculation formula is as follows:
[0060] SDJ = DTJ * (1 + sxs)
[0061] In the formula, SDJ represents the time period price, sxs represents the time coefficient, which is a constant term, and 0 < sxs ≤ 0.5. Among them, the smaller sxs is, the more it represents the off-peak season, and the larger sxs is, the more it represents the peak season. By using the time of the off-peak and peak seasons as the time coefficient, the price changes of the health preservation hut in the off-peak or peak season can be obtained.
[0062] The competition factor is calculated based on the calculated dynamic price and the market average price. The calculation expression is as follows:
[0063]
[0064] In the formula, JZ represents the competitive factor, SCjj-DTJ represents the competitiveness of the health hut under the current market conditions, and dividing it by the current market average price SCjj represents converting the two price differences into relative values, which is the competitive factor JZ.
[0065] The market competition price is calculated based on the competition factor and the time period price. The calculation expression is as follows:
[0066] JZJ=SDJ*(1+JZ)
[0067] In the formula, SDJ*(1+JZ) represents the value obtained by adjusting the market's peak and off-season periods based on the pressure of the current market competition environment, which is the market competition price, and JZJ represents the market competition price.
[0068] The cost factor is calculated based on the total equipment cost and the base price. The calculation expression is as follows:
[0069]
[0070] In the formula, CBY represents the cost factor, cb-Jcj represents the difference between the total equipment cost of the health hut and the pricing base price. When the difference is positive, it means that the total equipment cost is higher than the pricing base price and the cost has increased. When the difference is negative, it means that the total equipment cost is lower than the pricing base price and the cost has decreased. When the difference is zero, it means that the total equipment cost is equal to the pricing base price. Dividing it by the pricing base price means converting the difference into the ratio of the difference to the pricing base price, which is the cost factor CBY.
[0071] The final price of the health hut is calculated based on the cost factor and market competition price. The calculation expression is as follows:
[0072] ZJ=JZJ*(1+CBY)
[0073] In the formula, (1+CBY) represents the proportion of the cost factor added to the market competitive price, and the product obtained by multiplying the market competitive price is used as the final price of the health hut, and ZJ represents the final price of the health hut.
[0074] By obtaining the changes in various data in the market where the health hut is located, the total equipment cost and the number of rooms of the health hut from the cloud platform, and calculating the corresponding factors and prices based on these data, and obtaining the cost factor and market competition price to obtain the final price of the health hut, the final price of the health hut is obtained by fully combining the impact of market price changes and changes in peak and off-season periods on the pricing of the health hut, and combining it with the actual cost factors of the health hut, so that the price is more in line with market demand and pricing changes, and avoiding merchants setting prices based on their own experience and blindly following the prices of market peers, which leads to their own losses.
[0075] After the final price of the health hut is calculated, the market analysis module sends it to the output unit;
[0076] The output unit is used to display the final price of the health hut and upload the final price of the health hut to various online platforms, thereby realizing the final price reflection and putting the final price online on various online platforms.
[0077] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. An intelligent charging operation system for an unattended sleep and health care cabin, characterized by: It includes a market data collection module, a market data analysis module and an output unit; The market data collection module is connected to the cloud platform, wherein the market data collection module is composed of a market price collection unit, a market order volume collection unit and a health hut basic data collection unit; The market price collection unit is used to collect all current market prices of the same type of health huts in the market, the market order quantity collection unit is used to collect the current order reservation quantity and the historical order reservation quantity for the same period, the health hut basic data collection unit is used to collect the total equipment cost of the health hut and the number of rooms divided into the health hut, and the market data collection module sends the collected current order reservation quantity, the market price of the same type of health huts in the market, the total equipment cost of the health hut and the number of rooms divided into the health hut to the market data analysis module; The market analysis module calculates the demand factor of the health hut in the current market based on the current order reservation quantity and the historical order reservation quantity for the same period. The market analysis module calculates the pricing base price based on the total equipment cost of the health hut and the number of rooms into which the health hut is divided. The market analysis module calculates the current market average price based on all current market prices. The market analysis module calculates the dynamic price based on the calculated demand factor and the pricing base price. After the dynamic price is calculated, it is combined with the pricing base price according to the market off-season and peak season to calculate the time period price. The market analysis module calculates the competition factor based on the calculated dynamic price and the market average price. After the competition factor is calculated, the market analysis module calculates the market competition price based on the competition factor and the time period price. The market analysis module calculates the cost factor based on the total equipment cost and the pricing base price, and calculates the final price of the health hut based on the cost factor and the market competition price. After the final price of the health hut is calculated, the market analysis module sends it to the output unit; The output unit is used to display the final price of the health hut and upload the final price of the health hut to various online platforms.
2. According to claim 1, the intelligent charging operation system for an unattended sleep and health care cabin is characterized by: The demand factor calculation expression is as follows: In the formula, XQ represents the demand factor, xdd represents the current order quantity, ldd represents the historical order quantity for the same period, and -1 represents the The ratio of the current order booking volume to the historical order booking volume during the same period minus 1 is the deviation value from the historical order booking volume, which is the demand factor.
3. According to claim 2, the intelligent charging operation system for an unattended sleep and health care cabin is characterized by: The calculation expression of the pricing base price is as follows: In the formula, cb represents the total equipment cost of the health hut, and sl represents the number of rooms in the health hut. It represents the minimum price required to maintain the health hut without making a loss, which is the base price. Jcj represents the base price.
4. According to claim 3, the intelligent charging operation system for an unattended sleep and health care cabin is characterized by: The current market average price calculation expression is as follows: In the formula, SCjj represents the current market average price, and Scj represents the market price of the same type of health huts in the market. The n in the above indicates that there are n market prices Scj of the same type of health-care huts collected in the market, and i=1 indicates that the market prices Scj of the same type of health-care huts in the market are calculated starting from the first data and ending at the nth data. It means to find the average of the summed results, which is the current market average price SCjj.
5. According to claim 4, the intelligent charging operation system for an unattended sleep and health care cabin is characterized by: The dynamic price calculation expression is as follows: DTJ=Jcj*(1+XQ) In the formula, the demand factor and the pricing base price are combined to calculate the adjusted price based on the current market demand. The 1 in 1+XQ represents 100% of the pricing base price. When the demand factor is 0, it means that the market demand has not changed. When the demand factor is positive, it means that the market demand has increased, and the pricing needs to be increased by multiples. When the demand factor is negative, it means that the market demand is negative, and the pricing needs to be reduced by multiples. DTJ represents dynamic price.
6. According to claim 5, the intelligent charging operation system for an unattended sleep and health care cabin is characterized by: The period price calculation expression is as follows: SDJ=DTJ*(1+sxs) In the formula, SDJ represents the time period price, sxs represents the time coefficient, and the value is a constant term, and 0 <sxs≤0.5。 7. The intelligent charging operation system for an unattended sleep and health care cabin according to claim 6 is characterized by: The competition factor calculation expression is as follows: In the formula, JZ represents the competitive factor, SCjj-DTJ represents the competitiveness of the health hut under the current market conditions, and dividing it by the current market average price SCjj represents converting the two price differences into relative values, which is the competitive factor JZ.
8. According to claim 7, the intelligent charging operation system for an unattended sleep and health care cabin is characterized by: The market competition price calculation expression is as follows: JZJ=SDJ*(1+JZ) In the formula, SDJ*(1+JZ) represents the value obtained by adjusting according to the pressure of the current market competition environment and the time periods of the market's peak and off-seasons, that is, the market competition price, and JZJ represents the market competition price.
9. The intelligent charging operation system for an unattended sleep and health care cabin according to claim 8 is characterized by: The cost factor calculation expression is as follows In the formula, CBY represents the cost factor, cb-Jcj represents the difference between the total equipment cost of the health hut and the pricing base price. When the difference is positive, it means that the total equipment cost is higher than the pricing base price and the cost has increased. When the difference is negative, it means that the total equipment cost is lower than the pricing base price and the cost has decreased. When the difference is zero, it means that the total equipment cost is equal to the pricing base price. Dividing it by the pricing base price means converting the difference into the ratio of the difference to the pricing base price, which is the cost factor CBY.
10. The intelligent charging operation system for an unattended sleep and health care cabin according to claim 9 is characterized in that: The final price calculation expression of the health hut is as follows: ZJ=JZJ(1+CBY) In the formula, (1+CBY) represents the proportion of the cost factor added to the market competitive price, and the product obtained by multiplying the market competitive price is used as the final price of the health hut, and ZJ represents the final price of the health hut.