A heating charge method based on dynamic energy consumption correction and related products

Abstract

This invention discloses a heating billing method and related products based on dynamic energy consumption correction, belonging to the field of heating metering and billing technology. The method provided by this invention synchronously collects user-end heating medium flow rate, supply and return water temperature difference, total heat loss in the community's public pipe network, user static location data, and dynamic environmental data according to a pre-designed fee cycle; calculates the user's original basic heat consumption; introduces a pipe network loss allocation coefficient, a location correction coefficient, and a temperature time period correction coefficient for tiered correction; calculates the user's final effective billable heat consumption; divides the tiers and matches corresponding heating unit prices to generate the final heating cost. Using this invention, the public pipe network loss is allocated according to the actual heat consumption ratio, the billing result incorporates dynamic correction based on user location differences and outdoor temperature time periods, and guides energy conservation through tiered pricing. This solves the problems of poor billing fairness, low accuracy, and insufficient stability in existing technologies, and is suitable for intelligent billing management of urban centralized heating.

Description

Technical Field

[0001] This invention relates to the field of heat metering and billing technology, specifically to a heat billing method and related products based on dynamic energy consumption correction. Background Technology

[0002] Currently, there are two main models for charging for centralized heating in urban areas. The first is a fixed-area charging model, where the annual heating cost is calculated by multiplying the user's property area by a fixed unit price. This model is simple to calculate and has low operation and maintenance costs, but it completely ignores factors such as the user's actual heating behavior, building insulation conditions, and differences in building location. This leads to an unreasonable situation where different users pay different prices depending on usage and energy consumption, severely inhibiting users' enthusiasm for energy conservation and causing a significant waste of thermal energy resources. The second is the direct metering charging model, which has been gradually promoted in recent years. This model involves installing a heat meter at the user's inlet to collect data on the flow rate of the heating medium and the temperature difference between the supply and return water. It uses a fixed thermodynamic formula to calculate the user's heat consumption and then multiplies it by a uniform heating unit price to calculate the cost. This model is more scientific than area-based charging and is currently the closest existing technical solution to this invention.

[0003] However, the aforementioned direct metering and billing model for heat meters still has the following drawbacks: First, it does not account for public heat loss in the pipeline network. Centralized heating systems include main building pipelines and community public pipelines. During transmission, there are objective heat loss and transmission losses, which are shared by all users. Current technology only counts the heat loss of individual households, transferring all public pipeline loss costs to the heating company. This leads to company losses or a disguised cost-sharing mechanism by raising unit prices, causing low-heat-consuming users to bear additional costs, resulting in poor billing fairness. Second, it does not consider the objective differences in energy consumption due to user location. In the same building, corner units, top-floor units, and ground-floor units have larger wall heat dissipation areas and poorer insulation, resulting in significantly higher heat consumption at the same room temperature compared to middle-floor units. Current technology lacks a differentiated correction mechanism, leading to higher objective energy consumption users paying more, while environmentally advantageous users excessively benefit, resulting in low billing accuracy. Third, it lacks dynamic correction for ambient temperature. During the early stages of winter heating, the outdoor temperature difference is extremely large in the middle and late winter. The heat loss of the pipeline network changes dynamically with the outdoor temperature. The existing technology uses a fixed billing formula, which does not distinguish between time periods and environmental differences. The billing error is significant during periods of low temperature and extreme cold, and the overall billing stability is poor.

[0004] Therefore, how to provide a heating billing method that can comprehensively consider the sharing of common losses in the pipeline network, the differences in energy consumption in the objective location of users, and the impact of changes in outdoor temperature over time has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a heating billing method and related products based on dynamic energy consumption correction, so as to overcome the problems of unfair, inaccurate and unstable billing in the existing direct metering mode of heat meters.

[0006] The present invention solves the above-mentioned technical problems through the following technical solution: This invention provides a heating fee collection method based on dynamic energy consumption correction, comprising the following steps: Step 1: Collect heating medium flow data, supply and return water temperature difference data, total heat loss data of the community's public pipe network, user static location data, and dynamic environmental data at the user end according to the pre-design fee cycle. Step 2: Based on the heating medium flow rate data and the supply and return water temperature difference data, calculate the user's original basic heat consumption using the basic heat consumption calculation formula; Step 3: Introduce the pipeline loss allocation coefficient, location correction coefficient, and temperature time period correction coefficient to perform tiered correction on the original basic heat consumption; among them, the pipeline loss allocation coefficient is calculated based on the total heat loss data of the community's public pipeline network and the sum of the original basic heat consumption of all users in the community, the location correction coefficient is determined based on the static location data of users, and the temperature time period correction coefficient is determined based on the dynamic environmental data. Step 4: Calculate the user's final effective billable heat consumption based on the heat consumption after correction by the pipeline loss allocation coefficient, location correction coefficient, and temperature time period correction coefficient. Step 5: Divide the user into tiers based on the user's final effective billable heat consumption, match the corresponding heating unit price for each tier, and generate the user's final heating cost.

[0007] A further improvement of this invention is that the user's static location data includes the user's floor, whether it is a corner unit, and the building's insulation level; the dynamic environmental data includes the average outdoor temperature within the pre-designed cost period.

[0008] A further improvement of this invention is that the pipeline loss allocation coefficient is calculated according to the following formula:

[0009] in, α is the pipeline loss allocation coefficient, and its value ranges from 0 to 1. The public net heat loss of the community's public pipe network within a single pre-design fee period; This refers to the total raw basic heat consumption of all users in the community during the pre-design fee period, calculated from their heat meters; the pipeline loss allocation ratio is... .

[0010] A further improvement of this invention is that the location correction coefficient is determined based on the user's floor, whether it is a corner unit, and the building's insulation level as follows: For users in the middle layer who are not edge units, the location correction factor is set to the first standard level; For top-level users, bottom-level users, or edge users, the location correction coefficient is set to the second loss-prone level, which is higher than the first standard level. For users whose insulation level is lower than the preset standard, the location correction coefficient is set to the third loss level, which is higher than the first standard level.

[0011] A further improvement of the present invention is that the temperature period correction factor is determined based on the average outdoor temperature within the pre-designed period in the following manner: When the average outdoor temperature is ≥0℃, the temperature period correction factor is set to the first temperature correction value; When the average outdoor temperature is ≥-10℃ and <0℃, the temperature period correction factor is set to the second temperature correction value. When the average outdoor temperature is less than -10℃, the temperature period correction factor is set to the third temperature correction value. The first temperature correction value is lower than the second temperature correction value, and the third temperature correction value is higher than the second temperature correction value.

[0012] A further improvement of this invention is that the user's final effective billable heat consumption is calculated according to the following formula:

[0013] in, The heat consumption is ultimately effectively billed to the user; This represents the original basic heat consumption; This is the pipeline loss allocation coefficient; This is the location correction factor; This is a temperature time period correction factor; The final heating cost for each user is calculated using the following formula:

[0014] in, The final heating cost for the user; , , These are the effective heat consumption for the first, second, and third tier intervals within the user's billing cycle, respectively. , , The heating unit prices are for the first, second, and third tiers, respectively. The effective heat consumption of each step interval is calculated by summing the segments.

[0015] This invention also provides a heating fee collection system based on dynamic energy consumption correction, comprising: The first module is used to synchronously collect data on the flow rate of the heating medium, the temperature difference between the supply and return water, the total heat loss of the community's public pipe network, the static location data of the user, and the dynamic environmental data at the user end according to the pre-designed fee cycle. The second module is used to calculate the user's original basic heat consumption based on the heating medium flow data and the supply and return water temperature difference data, using the basic heat consumption calculation formula. The third module is used to introduce the pipeline loss allocation coefficient, the location correction coefficient, and the temperature time period correction coefficient to perform tiered correction on the original basic heat consumption. Among them, the pipeline loss allocation coefficient is calculated based on the total heat loss data of the community's public pipeline network and the sum of the original basic heat consumption of all users in the community, the location correction coefficient is determined based on the static location data of users, and the temperature time period correction coefficient is determined based on the dynamic environmental data. The fourth module is used to calculate the user's final effective billable heat consumption based on the heat consumption after correction by the pipeline loss allocation coefficient, location correction coefficient, and temperature time period correction coefficient. The fifth module is used to divide users into tiers based on their final effective billable heat consumption, match the corresponding heating unit price for each tier, and generate the user's final heating cost.

[0016] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the heating fee collection method based on dynamic energy consumption correction described above.

[0017] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the heating fee collection method based on dynamic energy consumption correction described above.

[0018] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the heating fee collection method based on dynamic energy consumption correction described above.

[0019] Compared with the prior art, the positive and progressive effects of the present invention are as follows: The heating billing method based on dynamic energy consumption correction provided by this invention collects multi-dimensional data, including heating medium flow rate, supply and return water temperature difference, total heat loss in the public pipeline network, user static location data, and dynamic environmental data, simultaneously within the pre-designed fee period. Based on the original basic heat consumption calculation, it further introduces a pipeline loss allocation coefficient calculated from actual loss data and heat consumption data, a location correction coefficient determined from location data, and a temperature time period correction coefficient determined from environmental data. This performs tiered correction on the original heat consumption, and then uses tiered billing based on the corrected heat consumption. The public pipeline loss is allocated to each user according to the actual heat consumption ratio, eliminating billing differences caused by objective location conditions such as edge households, top-floor units, and bottom-floor units. It also dynamically matches the billing results to different environmental temperature time periods, ultimately generating heating costs that more accurately reflect the comprehensive heat consumption cost of each user in the overall heating system. This overcomes the shortcomings of existing technologies, such as poor billing fairness, low accuracy, and poor stability.

[0020] Furthermore, the specific data types and sources required for location correction and temperature time period correction were clarified, ensuring the clarity and operability of the data collection process and providing a quantitative basis for the accurate determination of subsequent coefficients and differentiated billing.

[0021] Furthermore, the location correction coefficient is categorized based on the user's floor level, unit type, and insulation level. Users in middle floors (excluding corner units) are assigned to the standard level, while top-floor, bottom-floor, or corner units are assigned to a higher loss level. Users with substandard insulation are assigned to an even higher loss level. This differentiated categorization mechanism quantitatively reflects the objective impact of different physical location conditions on user energy consumption, making the final billed heat consumption more closely match the user's actual heating costs and heat dissipation conditions.

[0022] Furthermore, the temperature correction coefficient for different time periods is determined based on specific zones of the outdoor average temperature. Temperature correction values ​​are assigned progressively higher values ​​when the outdoor temperature is above 0℃, between -10℃ and 0℃, and below -10℃. This method incorporates the impact of seasonal temperature differences and extreme weather on network heat dissipation into the billing model, avoiding the large billing errors in existing technologies during extremely cold periods and improving the stability and time-varying adaptability of billing results throughout the entire heating season. Attached Figure Description

[0023] The accompanying drawings are provided to further understand the invention and constitute a part of this invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0024] Figure 1 This is a schematic flowchart of the method of the present invention; Figure 2 This is a schematic diagram of the system framework of the present invention. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] In the description of this invention, it should be understood that the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0027] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0028] It should be understood that although terms such as first, second, third, etc., may be used in the embodiments of the present invention to describe the preset range, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from one another. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0029] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0030] The current mainstream precision heating billing scheme is the pure heat meter metering billing method. The core principle is to collect basic data such as heating supply water temperature, return water temperature, and heating flow rate through heat meters installed at the user's home, calculate the user's real-time heat consumption through a fixed formula, and finally calculate the heating cost by combining it with the heating unit price. The specific implementation process and formula are as follows: Step 1: User-side data collection: The heat meter collects the flow rate of the heating medium entering the household in real time. Water supply temperature Return water temperature Statistical data is stored daily / monthly.

[0031] Step 2: Calculate the user's cumulative heat consumption: The industry-standard basic heat consumption calculation formula is adopted:

[0032] In the formula: Cumulative heat consumption per user cycle (unit: J); is the specific heat capacity of water (a constant, 4.2 × 10³ J / (kg·℃)); The density of water is a constant, 1000 kg / m³. The cumulative flow rate of the heating medium within the cycle (unit: m³); Average water supply temperature (unit: °C); Average return water temperature (unit: °C).

[0033] Step 3: Calculate the final heating cost: Fee calculation formula:

[0034] In the formula: The cost of heating for users per cycle; The unit price of heat for heating units (yuan / GJ, a fixed unit price uniformly determined by the industry).

[0035] The overall logic of this scheme is as follows: by using basic heat consumption data from hardware metering, the cost is calculated directly using a fixed formula and a fixed unit price without any correction parameters. This is currently the most widely used accurate billing scheme in the field of smart heating.

[0036] Based on the above background, this application provides a heating billing method based on dynamic energy consumption correction. This method synchronously collects multi-dimensional data from users according to a pre-designed fee cycle. After calculating the user's original basic heat consumption, it introduces a network loss allocation coefficient, a location correction coefficient, and a temperature time period correction coefficient for tiered correction. Then, based on the corrected heat consumption, it calculates the user's final effective billable heat consumption, and accordingly divides the heating into tiers, matches the corresponding tier unit price, and generates the final heating fee. The network loss allocation coefficient ensures fair allocation of public network losses according to heat consumption ratio; the location correction coefficient eliminates billing deviations caused by objective location differences such as edge units, top-floor units, and bottom-floor units; and the temperature time period correction coefficient dynamically adapts to outdoor temperature changes during different heating periods, thereby improving the overall fairness, accuracy, and stability of heating billing.

[0037] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0038] Reference Figure 1 As shown in the flowchart, this application provides a heating fee collection method based on dynamic energy consumption correction, which includes the following steps: Step 1: Collect heating medium flow data, supply and return water temperature difference data, total heat loss data of the community's public pipe network, user static location data, and dynamic environmental data at the user end according to the pre-designed fee cycle.

[0039] The pre-designed billing cycle can be set to a single calendar day, a calendar month, or a complete heating season, depending on actual heating management needs. In this step, the data collection objects and sources are multi-dimensional. Heating medium flow data and supply / return water temperature difference data can be directly obtained from the heat meter installed at the user's inlet; the heating medium can be hot water or steam. Total heat loss data of the community's public pipe network can be synchronously obtained from the back-end monitoring system of the heating main station or community heat exchange station. This data reflects the total heat loss of the community-level public pipe network due to heat dissipation, transportation, and other factors within the billing cycle. User static location data and dynamic environmental data are obtained from the building archive system and outdoor meteorological monitoring equipment, respectively. Through this step, the centralized and synchronous collection of basic data required for all subsequent correction calculations is completed, laying the data foundation for multi-factor comprehensive billing.

[0040] Step 2: Based on the heating medium flow rate data and the supply and return water temperature difference data, calculate the user's original basic heat consumption using the basic heat consumption calculation formula.

[0041] This step utilizes the user-end heating medium flow rate data and supply / return water temperature difference data collected in Step 1, substitutes them into the basic heat consumption calculation formula, and calculates the user's original basic heat consumption without any correction. The basic heat consumption calculation formula used can be a thermodynamic formula commonly used in this field, which involves parameters such as the specific heat capacity, density, cumulative flow rate within the cycle, and average temperature difference between the supply and return water of the heating medium. This original basic heat consumption only reflects the heat consumption within the metering range of the user's inlet heat meter and does not include the impact of public pipeline network loss allocation and other differential factors.

[0042] Step 3: Introduce the pipeline loss allocation coefficient, location correction coefficient, and temperature time period correction coefficient to perform tiered correction on the original basic heat consumption. Among them, the pipeline loss allocation coefficient is calculated based on the total heat loss data of the community's public pipeline network and the sum of the original basic heat consumption of all users in the community; the location correction coefficient is determined based on the static location data of users; and the temperature time period correction coefficient is determined based on the dynamic environmental data.

[0043] This step is the core correction step of this method. The network loss allocation coefficient is used to allocate the objective heat dissipation and transmission losses of the community's public network according to the proportion of each user's actual heat consumption to the community's total heat consumption. This coefficient is calculated based on the sum of all users' original basic heat consumption obtained in the previous step, dynamically determined in conjunction with the total heat loss data of the community's public network within the current billing cycle. This ensures that users with higher heat consumption bear a larger share of the losses, while users with lower heat consumption bear a smaller share, avoiding the unilateral transfer of all network losses to the heating company or disguised price increases. The location correction coefficient is determined based on the user's static location data obtained in step one, used to distinguish inherent energy consumption deviations caused by differences in objective physical conditions such as floor location, whether it is a corner unit, and the building's insulation level. The temperature period correction coefficient is based on dynamic environmental data obtained in step one, such as the average outdoor temperature within the billing cycle, to dynamically compensate for changes in network heat dissipation caused by seasonal or weather-related temperature differences. Through these three dimensions of coefficient correction, the original basic heat consumption is corrected to an effective heat consumption that more accurately reflects the user's overall heating cost.

[0044] Step 4: Calculate the user's final effective billable heat consumption based on the heat consumption after correction by the pipeline loss allocation coefficient, location correction coefficient, and temperature time period correction coefficient.

[0045] In this step, the heat consumption adjusted by the three-level coefficient in step three is integrated and calculated to obtain the user's final effective billable heat consumption for the current billing cycle. This final effective billable heat consumption is the direct basis for subsequent tiered billing. Its value includes both the user's self-consumption heat measured at the user's inlet and the heat loss from the public pipeline that should be reasonably allocated, while also incorporating quantitative corrections for objective location conditions and differences in ambient temperature over time.

[0046] Step 5: Divide the user into tiers based on the user's final effective billable heat consumption, match the corresponding heating unit price for each tier, and generate the user's final heating cost.

[0047] After obtaining the final effective billable heat consumption calculated in step four, it is divided into different tiers according to a preset heat consumption tier threshold. Each tier corresponds to a different heating unit price; generally, the lower the heat consumption, the lower the unit price, and the higher the heat consumption, the higher the unit price. The effective heat consumption within each tier is multiplied by the corresponding unit price and then summed to obtain the final heating fee payable by the user for the current billing cycle. This tiered billing mechanism, in conjunction with the aforementioned multi-factor correction mechanism, can accurately reflect the user's actual heating costs and incentivize users to actively save energy through price leverage.

[0048] Preferably, this application further elaborates on the specific determination method and calculation relationship of each correction coefficient.

[0049] For static location data of users, this specifically includes the user's floor level, whether it is a corner unit, and the building's insulation level. Dynamic environmental data specifically includes the average outdoor temperature within the pre-design cost period. These data are collected synchronously in step one, providing a quantitative basis for the accurate determination of subsequent location correction coefficients and temperature time-period correction coefficients.

[0050] The pipeline loss allocation factor is calculated according to the following formula:

[0051] Wherein, α is the pipeline loss sharing coefficient, and its value ranges from 0 to 1. The public net heat loss of the community's public pipe network within a single pre-design fee period; This is the sum of the original basic heat consumption statistics of all users in the community within the pre-designed fee period. Based on this, the network loss allocation ratio is determined to be 1+α. This ratio is always greater than 1. Multiplying it by the user's original basic heat consumption will proportionally add the share of public network loss heat consumption to the user's actual private heat consumption, realizing the principle that the more heat consumed, the more loss is allocated.

[0052] The location correction factor is determined based on the user's floor, whether it is a corner unit, and the building's insulation level as follows: For users on middle floors who are not corner units, the location correction factor is set to the first standard level; for users on the top floor, bottom floor, or corner units, the location correction factor is set to the second loss-prone level, which is higher than the first standard level; for users whose insulation level is lower than the preset standard, the location correction factor is set to the third loss-prone level, which is higher than the first standard level.

[0053] In one optional numerical implementation, the first standard level can be set to 1.0, the second higher loss level can be set to a value within the range of 1.05 to 1.15, and the third higher loss level can be set to a value within the range of 1.1 to 1.2. The specific values ​​can be determined based on building energy efficiency standards and historical heating data. If a user meets multiple higher loss levels simultaneously, such as being both a top-floor unit and an end unit with a low insulation rating, the highest value or a combination of coefficients can be used to determine the optimal level. Specific rules can be set according to the actual needs of heating management.

[0054] The temperature period correction factor is determined based on the average outdoor temperature within the pre-designed cost period in the following manner: When the average outdoor temperature is ≥0℃, the temperature period correction factor is set to the first temperature correction value; when the average outdoor temperature is ≥-10℃ and <0℃, the temperature period correction factor is set to the second temperature correction value; when the average outdoor temperature is <-10℃, the temperature period correction factor is set to the third temperature correction value; wherein, the first temperature correction value is lower than the second temperature correction value, and the third temperature correction value is higher than the second temperature correction value. In one optional specific numerical implementation, the first temperature correction value can be 0.95, the second temperature correction value can be 1.0, and the third temperature correction value can be 1.05. During the initial and final stages of heating, the outdoor temperature is relatively high, and the heat loss of the pipeline network is relatively small, so a lower correction value is used; during the extremely cold period of deep winter, the heat loss of the pipeline network increases dramatically, so a higher correction value is used, thereby enabling the billing results to dynamically follow the changes in actual heating conditions.

[0055] The following formula is used to calculate the final effective billable heat consumption and generate heating costs:

[0056] in, The heat consumption is ultimately effectively billed to the user; This represents the original basic heat consumption; α is the pipeline loss allocation factor; γ is the temperature period correction factor. The pipeline loss allocation ratio (1+α) is multiplicative with the location correction factor β and the temperature period correction factor γ, and together they affect the original base heat consumption. .

[0057] The final heating cost for each user is calculated using the following formula:

[0058] in, The final heating cost for the user; , , These are the effective heat consumption for the first, second, and third tier intervals within the user's billing cycle, respectively. , , The heating unit prices are for the first, second, and third tiers, respectively. The effective heat consumption of each tier is calculated by summing the results in segments. The specific thresholds for dividing the tiers and the unit price for each tier can be determined by the heating management department based on local energy prices, building energy efficiency standards, and public welfare policies.

[0059] See Figure 2This application also provides a heating billing system based on dynamic energy consumption correction. The system includes: a first module (data acquisition module) for synchronously collecting user-end heating medium flow data, supply and return water temperature difference data, total heat loss data of the community's public pipe network, user static location data, and dynamic environmental data according to a pre-designed fee cycle; a second module (basic heat consumption calculation module) for calculating the user's original basic heat consumption using a basic heat consumption calculation formula based on the heating medium flow data and supply and return water temperature difference data; and a third module (dynamic coefficient correction module) for introducing a pipe network loss allocation coefficient, a location correction coefficient, and a temperature time period correction coefficient to adjust the heating medium flow rate and temperature time period. The original basic heat consumption is adjusted in layers. Specifically, the network loss allocation coefficient is calculated based on the total heat loss data of the community's public network and the sum of the original basic heat consumption of all users within the community; the location correction coefficient is determined based on the user's static location data; and the temperature period correction coefficient is determined based on dynamic environmental data. The fourth module (effective heat consumption calculation module) calculates the user's final effective billable heat consumption based on the heat consumption adjusted by the network loss allocation coefficient, location correction coefficient, and temperature period correction coefficient. The fifth module (tiered pricing calculation module) divides the user's final effective billable heat consumption into tiers and generates the final heating cost. The data flow and calculation logic between each module correspond one-to-one with the steps in the aforementioned method embodiment. The system may further include a sixth module (data output module) to push the final heating cost bill to the user via a user-end application or SMS channel.

[0060] Through the synergistic combination of the above coefficients and formulas, this application achieves fair allocation of public losses in the pipeline network, differentiated billing for users of different apartment types and floors, and the impact of dynamic changes in outdoor temperature on heat consumption through quantifiable mathematical models, ensuring the transparency and traceability of the billing process.

[0061] In a specific embodiment of this application, the application process of the aforementioned method in a real heating billing system is described in conjunction with a complete billing cycle operation example. Taking January of a heating season in a certain community as the billing cycle (January 1st to January 31st), a top-floor corner unit in the community is selected as the calculation object. The insulation level of this user's house is lower than the preset standard, and the building area is 100 square meters.

[0062] (a) Data collection Following step one, the relevant data for this billing cycle will be collected synchronously as follows: User-side heat meter data: Cumulative flow rate of heating medium =120m³; Average water supply temperature =45℃; Average return water temperature =35℃; Specific heat capacity of water Take 4.2 × 10³ J / (kg·℃), density Take 1000 kg / m³.

[0063] Total heat loss data of the community's public pipe network: obtained from the heat exchange station monitoring system, showing the total heat loss of the community's public pipe network this month. =200GJ (i.e., 2×10) 8 kJ).

[0064] Total basic calorific value of all users in the community: This is the total basic calorific value of all 300 households in the community for the month, calculated by a summary. =3000GJ (i.e., 3×10) 9 kJ).

[0065] User static location data: The floor is the top floor (yes), it is a corner unit (yes), and the building's insulation level is lower than the preset standard (yes).

[0066] Dynamic environmental data: The average outdoor temperature for this month is -8℃ (within the range of ≥-10℃ and <0℃).

[0067] (ii) Calculate the user's original basic heat consumption

[0068] Based on step two, the basic heat consumption calculation formula is used: =4.2×10³J / (kg·℃)×1000kg / m³×120m³×(45℃-35℃)=5.04×10 9 J=5.04GJ (III) Calculate each correction factor Pipeline loss allocation coefficient and the sharing ratio 1+ : =200GJ / 3000GJ≈0.0667 1+ =1.0667 Location correction coefficient : This user simultaneously meets three conditions: being a top-floor unit, an end unit, and having an insulation level below the preset standard. Based on the fact that top-floor and end units correspond to a second higher level of insulation loss, and a lower insulation level corresponds to a third higher level of insulation loss, in this case, the location correction coefficient is determined according to the principle of taking the highest value, and a value of 1.15 is selected for the third higher level of insulation loss.

[0069] Temperature period correction factor : The average outdoor temperature for the month was -8 ℃, which falls within the range of ≥-10℃ and <0℃. Based on the temperature period correction factor, it is set as the second temperature correction value, which is 1.0.

[0070] (iv) Calculate the user's final effective billable heat consumption.

[0071] According to step four and The formula yields: =5.04GJ×1.0667×1.15×1.0≈6.18GJ (v) Calculation of tiered fees Based on step five, the tiered heating unit price and its classification criteria for this region are set as follows: Tier 1: 0-5 GJ / month, unit price P1=40 yuan / GJ; Second tier: 5-8 GJ / month, unit price P2=50 yuan / GJ; Tier 3: 8GJ / month or more, unit price P3=65 yuan / GJ.

[0072] The user's final effective billed heat consumption =6.18 GJ, falling into the first and second tiers. Among them, the heat consumption of the first tier is Q1=5 GJ, the heat consumption of the second tier is Q2=1.18 GJ(6.18-5), and the heat consumption of the third tier is Q3=0.

[0073] The final heating cost F = Q1×P1 + Q2×P2 + Q3×P3 =5GJ×40 yuan / GJ + 1.18GJ×50 yuan / GJ + 0 =200 yuan + 59 yuan =259 yuan (vi) Comparative Analysis If the existing direct billing method using pure heat meters is adopted, only the original basic heat consumption will be used. =5.04GJ multiplied by a uniform unit price (assuming 50 yuan / GJ), the user's monthly cost is 5.04 × 50 = 252 yuan. However, this method does not share the losses in the public pipeline network, nor does it consider the objectively high energy consumption factor of the poor insulation of the top-floor end units. The low-heat-consumption middle units bear the same unit price as this user, which is obviously unfair. After adopting the method of this application, the user bears a correction coefficient of 1.15 due to location and insulation conditions, and at the same time shares 6.67% of the pipeline network losses proportionally. The billed heat consumption is adjusted from 5.04GJ to 6.18GJ, and the final cost is 259 yuan through tiered pricing. This result allows the heating company to reasonably recover the cost of pipeline network losses, accurately reflects the user's objectively high heat dissipation characteristics, and the tiered pricing applies a moderate price guidance to the portion of energy consumption exceeding the first tier. For middle-floor middle units in the same building, users with good insulation, their location correction coefficient With a value of only 1.0, the billing heat consumption is relatively low, and the cost will be significantly lower than that of the user in this case, reflecting the principle of different prices for the same building and fair use of heat.

[0074] This invention introduces a pipeline loss sharing coefficient, a user location correction coefficient, and an outdoor temperature time period correction coefficient to dynamically correct the user's basic heat consumption at multiple levels. It accurately distinguishes between the user's private heat consumption and the heat consumption shared by the public pipeline loss, taking into account the differences in heat consumption of different house types, floors, and seasons. This enables differentiated and accurate accounting of heating costs, ensuring reasonable recovery of heating company losses and completely solving the problem of unfair heating charges for users. At the same time, accurate billing incentivizes users to actively save energy and reduces overall heating energy waste.

[0075] Based on the same inventive concept, this application provides a computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of a heating fee collection method based on dynamic energy consumption correction. The memory may include main memory, such as high-speed random access memory, or it may also include non-volatile memory, such as at least one disk storage device. The processor, network interface, and memory are interconnected via an internal bus, which may be an industry-standard architecture bus, a peripheral component interconnection standard bus, an extended industry-standard architecture bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The memory stores the program; specifically, the program may include program code, which includes computer operation instructions. The memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0076] Based on the same inventive concept, embodiments of this application provide a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the steps of the heating fee collection method based on dynamic energy consumption correction. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include RAM (Random Access Memory) and / or cache memory, etc. The non-volatile memory may include ROM (Read-Only Memory), hard disk, flash memory, optical disk, magnetic disk, etc.

[0077] Based on the same inventive concept, this application provides a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions, which, when executed by a computer device, cause the computer device to perform the steps of the above-described heating fee collection method based on dynamic energy consumption correction.

[0078] Those skilled in the art will understand that embodiments of the present invention can be provided as methods or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM (Compact Disc Read-Only Memory), optical storage, etc.) containing computer-usable program code.

[0079] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer apparatus or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0080] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer device or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0081] These computer program instructions may also be loaded onto a computer device or other programmable data processing equipment to cause a series of operational steps to be performed on the computer device or other programmable equipment to produce a process implemented by the computer device, thereby providing instructions that execute on the computer device or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0082] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the invention.

[0083] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A heating fee collection method based on dynamic energy consumption correction, characterized in that, Includes the following steps: Step 1: Collect heating medium flow data, supply and return water temperature difference data, total heat loss data of the community's public pipe network, user static location data, and dynamic environmental data at the user end according to the pre-design fee cycle. Step 2: Based on the heating medium flow rate data and the supply and return water temperature difference data, calculate the user's original basic heat consumption using the basic heat consumption calculation formula; Step 3: Introduce the pipeline loss allocation coefficient, location correction coefficient, and temperature time period correction coefficient to perform tiered correction on the original basic heat consumption; among them, the pipeline loss allocation coefficient is calculated based on the total heat loss data of the community's public pipeline network and the sum of the original basic heat consumption of all users in the community, the location correction coefficient is determined based on the static location data of users, and the temperature time period correction coefficient is determined based on the dynamic environmental data. Step 4: Calculate the user's final effective billable heat consumption based on the heat consumption after correction by the pipeline loss allocation coefficient, location correction coefficient, and temperature time period correction coefficient. Step 5: Divide the user into tiers based on the user's final effective billable heat consumption, match the corresponding heating unit price for each tier, and generate the user's final heating cost.

2. The heating fee collection method based on dynamic energy consumption correction according to claim 1, characterized in that, User static location data includes the user's floor, whether it is a corner unit, and the building's insulation level; dynamic environmental data includes the average outdoor temperature during the pre-design period.

3. The heating fee collection method based on dynamic energy consumption correction according to claim 1, characterized in that, The pipeline loss allocation factor is calculated according to the following formula: in, α is the pipeline loss allocation coefficient, and its value ranges from 0 to 1. The public net heat loss of the community's public pipe network within a single pre-design fee period; This refers to the total raw basic heat consumption of all users in the community during the pre-design fee period, calculated from their heat meters; the pipeline loss allocation ratio is... .

4. A heating fee collection method based on dynamic energy consumption correction according to claim 1, characterized in that, The location correction factor is determined based on the user's floor level, whether it is a corner unit, and the building's insulation level, as follows: For users in the middle layer who are not edge units, the location correction factor is set to the first standard level; For top-level users, bottom-level users, or edge users, the location correction coefficient is set to the second loss-prone level, which is higher than the first standard level. For users whose insulation level is lower than the preset standard, the location correction coefficient is set to the third loss level, which is higher than the first standard level.

5. A heating fee collection method based on dynamic energy consumption correction according to claim 1, characterized in that, The temperature period correction factor is determined based on the average outdoor temperature during the pre-design period as follows: When the average outdoor temperature is ≥0℃, the temperature period correction factor is set to the first temperature correction value; When the average outdoor temperature is ≥-10℃ and <0℃, the temperature period correction factor is set to the second temperature correction value. When the average outdoor temperature is less than -10℃, the temperature period correction factor is set to the third temperature correction value. The first temperature correction value is lower than the second temperature correction value, and the third temperature correction value is higher than the second temperature correction value.

6. A heating fee collection method based on dynamic energy consumption correction according to claim 1, characterized in that, The user's final effective billable heat consumption is calculated according to the following formula: in, The heat consumption is ultimately effectively billed to the user; This represents the original basic heat consumption; This is the pipeline loss allocation coefficient; This is the location correction factor; This is a temperature time period correction factor; The final heating cost for each user is calculated using the following formula: in, The final heating cost for the user; , , These are the effective heat consumption for the first, second, and third tier intervals within the user's billing cycle, respectively. , , The heating unit prices are for the first, second, and third tiers, respectively. The effective heat consumption of each step interval is calculated by summing the segments.

7. A heating fee collection system based on dynamic energy consumption correction, characterized in that, include: The first module is used to synchronously collect data on the flow rate of the heating medium, the temperature difference between the supply and return water, the total heat loss of the community's public pipe network, the static location data of the user, and the dynamic environmental data at the user end according to the pre-designed fee cycle. The second module is used to calculate the user's original basic heat consumption based on the heating medium flow data and the supply and return water temperature difference data, using the basic heat consumption calculation formula. The third module is used to introduce the pipeline loss allocation coefficient, the location correction coefficient, and the temperature time period correction coefficient to perform tiered correction on the original basic heat consumption. Among them, the pipeline loss allocation coefficient is calculated based on the total heat loss data of the community's public pipeline network and the sum of the original basic heat consumption of all users in the community, the location correction coefficient is determined based on the static location data of users, and the temperature time period correction coefficient is determined based on the dynamic environmental data. The fourth module is used to calculate the user's final effective billable heat consumption based on the heat consumption after correction by the pipeline loss allocation coefficient, location correction coefficient, and temperature time period correction coefficient. The fifth module is used to divide users into tiers based on their final effective billable heat consumption, match the corresponding heating unit price for each tier, and generate the user's final heating cost.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the heating charging method based on dynamic energy consumption correction as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the heating charging method based on dynamic energy consumption correction as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the steps of the heating fee collection method based on dynamic energy consumption correction as described in any one of claims 1 to 6.

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