Electric-coal boiler combined heating operation optimization analysis method

Abstract

The invention belongs to the technical field of heating operation optimization analysis, and relates to an electricity-coal boiler combined heating operation optimization analysis method, which comprises the following steps: on one hand, planning each stage of heat load by setting a heat load reference span, and deeply analyzing heat conversion loss of electricity and coal boilers in each stage of heat load supply and heat transfer loss of a heating pipeline; on the other hand, multiple regression analysis is applied to accurately predict the heating demand quantity of the target area in each unit period on the day, a heating equipment scheme on the day is preliminarily drawn up based on the comparison of the heating price and the heating loss of the electricity and coal boilers, and the operation health risk of the electricity and coal boilers in each unit period in the scheme execution process is identified; according to the method, the current-day heating equipment scheme is corrected, the reliability and safety of the current-day heating equipment scheme are greatly improved, stable operation of the heating system is powerfully ensured, scientific planning, accurate prediction and dynamic optimization of the heating system are achieved, and a solid guarantee is provided for efficient and stable heating service.

Description

Technical Field

[0001] The invention belongs to the technical field of heating operation optimization analysis, and relates to an optimization analysis method for combined heating operation of an electric coal boiler. Background Art

[0002] In the heating field, electric boilers and coal-fired boilers are the two mainstream heating equipment, each carrying different roles and advantages. Electric boilers have the advantages of being clean, pollution-free, and easy to control, while coal boilers have certain advantages in cost and heating stability. With the enhancement of environmental awareness and the continuous optimization and adjustment of energy structure on a global scale, how to reasonably balance the use of electric boilers and coal-fired boilers in the heating field and achieve the dual goals of efficient energy utilization and environmental protection has become an important issue that needs to be solved urgently.

[0003] In the prior art, there are some relevant solutions that can be applied to the operation management of combined heating with coal-fired power plants. For example, China Patent Publication No. CN111324849A is a method for optimizing the scheduling of a combined heating and cooling system taking into account the characteristics of the heating network. The method sets the parameters of the combined heating and cooling system and sets the minimum daily coal consumption of the combined heating and cooling system as the objective function. It considers energy balance constraints, grid operation constraints, and heating network characteristic constraints, establishes an optimized scheduling model for the combined heating and cooling system taking into account the characteristics of the heating network, uses a nonlinear programming solver to solve the optimized scheduling model for the combined heating and cooling system, and determines the optimized scheduling strategy for the combined heating and cooling system taking into account the characteristics of the heating network. This method is conducive to increasing the flexible scheduling space for cogeneration units and is suitable for combined heating with coal-fired power plants.

[0004] For example, the equipment capacity configuration method and device of the electric boiler and solar energy combined heating system with Chinese patent publication number CN106503466A obtains the user's annual cumulative heating demand, constructs the objective function and its constraints of the electric boiler and solar energy combined heating system, and determines the optimal solution of the objective function, that is, the optimal configuration capacity of various heating equipment in the electric boiler and solar energy combined heating system. It can not only improve the utilization rate of energy, but also achieve higher economic benefits. Similarly, it can also refer to the construction of the objective function of the electric boiler and coal boiler combined heating system, and solve the optimal equipment configuration plan to achieve the optimal operation of the electric coal boiler combined heating.

[0005] However, the existing operation and management of combined heating by electric and coal boilers still has limitations, specifically: 1. Existing technologies for the operation and management of heating by electric and coal boilers usually consider the problem of heat conversion loss, but rarely consider the problem of heat transfer loss in the regional heating transmission process of electric and coal boilers, as well as the deviation of heating loss corresponding to different heating levels, resulting in the lack of reliability and accuracy of regional heating demand forecasts and heating equipment plan systems.

[0006] 2. Existing technologies for formulating heating plans for electric and coal-fired boilers are often limited to considerations of heating costs and heating energy loss, and ignore whether the actual implementation of the heating plan poses operational health risks to electric and coal-fired boilers. If the heating process of electric and coal-fired boilers fails due to high-intensity operation, it may directly lead to interruption of the regional heating system, which is not conducive to the sustainable development of regional heating. Summary of the Invention

[0007] In view of this, in order to solve the problems raised in the above background technology, an optimization analysis method for combined heating operation of electric coal boiler is proposed.

[0008] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an optimization analysis method for combined heating operation of electric coal boilers, including: S1. setting the preset heating amount as the benchmark span of the heat load class to plan the heat load at each level.

[0009] S2. Retrieve historical heating performance data of electric and coal-fired boilers in the target area and analyze the heat conversion losses in the target area's electric and coal-fired boilers' heat load supply processes at all levels.

[0010] S3. Retrieve historical heating performance data of the heating pipelines in the target area and analyze the heat transfer losses in the heating pipelines in the target area in response to the heat load supply process at each level.

[0011] S4. Taking into account the time characteristics, historical heating characteristics and weather characteristics of the target area, multiple regression analysis is used to predict the heating demand for each unit time period in the target area on the same day.

[0012] S5. Determine the heat load class, electricity cost, and coal cost corresponding to the heating demand for each unit time period in the target area on the same day. By comparing the heating prices and heating losses between electric and coal boilers, preliminarily formulate a heating equipment plan for the target area on the same day.

[0013] S6. Identify whether there are operational health risks for the electric and coal-fired boilers in the target area during each unit time period of the day during the simulated execution process of the preliminary proposed target area heating equipment plan for the day, and revise the preliminary proposed target area heating equipment plan for the day based on this, and provide feedback on the revised plan.

[0014] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention plans the heat loads at each level by setting the preset heating amount as the benchmark span of the heat load class, and comprehensively analyzes the heat conversion losses existing in the target area's electric and coal-fired boilers in the process of supplying heat loads at each level, which helps to more accurately understand and manage the output of the heating system.

[0015] (2) The present invention analyzes the heat transfer losses in the target area heating pipelines during the heat load supply process at each level, helping to accurately evaluate the energy utilization efficiency of the heating system and achieve optimal resource allocation.

[0016] (3) The present invention uses multiple regression analysis to predict the heating demand for each unit time period in the target area on the same day by comprehensively considering time characteristics, historical heating characteristics and weather characteristics. The factors considered are comprehensive and detailed, making the prediction results more accurate and reliable, thereby helping to reasonably arrange heating resources and avoid energy waste.

[0017] (4) The present invention preliminarily formulates a heating equipment plan for the day by comparing the heating prices and heating losses between electric and coal-fired boilers, and identifies whether there are operational health risks for the electric and coal-fired boilers in the target area during each unit time period during the simulated execution process of the heating equipment plan for the day, thereby correcting the heating equipment plan for the day, greatly improving the reliability and safety of the heating equipment plan for the day, and effectively ensuring the stable operation of the heating system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 The present invention is a flowchart of the steps for implementing the method. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, the present invention provides an optimization analysis method for combined heating operation of electric coal boilers, including: S1. setting the preset heating capacity as the benchmark span of the heat load class, thereby planning the heat load at each level.

[0022] S2. Retrieve historical heating performance data of electric and coal-fired boilers in the target area and analyze the heat conversion losses in the target area's electric and coal-fired boilers' heat load supply processes at all levels.

[0023] Specifically, the analysis of heat conversion losses in the target area's electric and coal-fired boilers for each level of heat load supply process includes: collecting the output power and output heating capacity of each day and unit time period within a historical preset period of the electric boiler in the target area, further subtracting the product of the output power and unit time length from the output heating capacity to obtain the heat conversion loss, thereby obtaining the heat conversion loss of each day and unit time period within the historical preset period of the electric boiler in the target area, determining the heat load class of the output heating capacity, and counting the heat conversion losses corresponding to the heat load class of each day and unit time period within the historical preset period of the electric boiler in the target area, and then obtaining the heat conversion losses corresponding to each level of heat load of the electric boiler in the target area through average calculation.

[0024] The quality of the coal burned and the output heating capacity of each unit time period on each day within the historical preset period of the coal boiler in the target area are collected. The product of the quality of the coal burned and the preset low calorific value of the coal configured for the coal boiler in the target area stored in the WEB cloud is further subtracted from the output heating capacity to obtain the heat conversion loss of each unit time period on each day within the historical preset period of the coal boiler in the target area. Then, the heat conversion loss corresponding to each level of heat load of the coal boiler in the target area is obtained in the same way as the method for obtaining the heat conversion loss corresponding to each level of heat load of the electric boiler in the target area.

[0025] The embodiment of the present invention plans the heat loads at each level by setting the preset heating amount as the benchmark span of the heat load class, and comprehensively analyzes the heat conversion losses existing in the target area's electric and coal boilers in the process of supplying heat loads at each level, which helps to more accurately understand and manage the output of the heating system.

[0026] S3. Retrieve historical heating performance data of the heating pipelines in the target area and analyze the heat transfer losses in the heating pipelines in the target area in response to the heat load supply process at each level.

[0027] Specifically, the analysis of the heat transfer loss in the target area heating pipeline for the heat load supply process at each level includes: accumulating the output heating capacity of each unit time period on each day within the historical preset period of the target area electric and coal boilers to obtain the transferred heating capacity of each unit time period on each day within the historical preset period of the target area heating pipeline.

[0028] Collect the average internal hot water temperature of the heating pipes in the target area during each day and unit period within the preset historical period and the average external ambient temperature ,in It is the number of each day in the historical preset period. , is the number of each unit time period, , evaluate the heat conduction loss of the heating pipes in the target area during each day and unit period in the historical preset period , heat convection loss and heat radiation loss The cumulative value of heat conduction loss, heat convection loss and heat radiation loss is taken as the heat transfer loss to determine the heat load class of the transferred heating amount. The heat transfer loss corresponding to the heat load class of each day and unit time period in the historical preset period of the heating pipeline in the target area is statistically analyzed, and then the heat transfer loss corresponding to each level of heat load in the target area is obtained through average calculation.

[0029] It should be noted that the specific calculation formulas for the heat conduction loss, heat convection loss and heat radiation loss of the heating pipelines in each unit time period on each day within the historical preset period of the heating pipelines in the above target area are: 、 、 ,in The preset thermal conductivity of the corresponding material of the heating pipe in the target area, are the preset surface area and preset pipe wall thickness of the target district heating pipe, is the preset convective heat transfer coefficient, They are the preset surface emissivity and preset constant respectively.

[0030] S4. Taking into account the time characteristics, historical heating characteristics and weather characteristics of the target area, multiple regression analysis is used to predict the heating demand for each unit time period in the target area on the same day.

[0031] Specifically, the predicted heating demand for each unit time period of the target area on the same day includes: obtaining the actual heating demand for each unit time period of each day in the historical preset period of the target area and various weather parameter monitoring indicators, and the various weather parameters include temperature, humidity, precipitation and wind speed.

[0032] Starting from the current day, historical reference days are extracted from the historical preset period according to the preset time span, and various time parameter indicators of each historical reference day are collected. Each time parameter indicator includes a week status indicator and a holiday status indicator.

[0033] Extract the actual heating capacity of each unit time period of each historical reference day in the target area and the monitoring indicators of each weather parameter. Combined with the time parameter indicators of each historical reference day, construct the reference data table of heating for the target area on the same day and perform regression analysis on it to obtain the benchmark heating capacity corresponding to each unit time period of the target area on the same day. , regression coefficients of each time parameter And the regression coefficients of various weather parameters , is the number of each time parameter, , is the number of each weather parameter, , collect parameter indicators at each time of the day And each unit time period corresponds to each weather parameter monitoring index , according to the formula The heating demand for each unit time period in the target area on the day is predicted, where For the Time parameters correspond to preset weights, For the Each weather parameter corresponds to a preset weight.

[0034] It should be noted that the above 、 、 The reference data table of heating supply for the target area on that day can be imported into programming software or spreadsheet software, and the data can be directly obtained by inserting the built-in regression analysis tool in the application software.

[0035] The embodiment of the present invention helps to accurately evaluate the energy utilization efficiency of the heating system and achieve optimal resource allocation by analyzing the heat transfer losses existing in the target area heating pipeline according to the heat load supply process at each level.

[0036] S5. Determine the heat load class, electricity cost, and coal cost corresponding to the heating demand for each unit time period in the target area on the same day. By comparing the heating prices and heating losses between electric and coal boilers, preliminarily formulate a heating equipment plan for the target area on the same day.

[0037] Specifically, the preliminary formulation of the heating equipment plan for the target area on that day includes: combining electric and coal boilers according to preset heating capacity ratios, constructing various heating equipment options, marking a unit time period on the day as the target time period, determining the heat transfer loss corresponding to the heat load class of the heating demand in the target time period, and accumulating it with the heating demand in the target time period to obtain the reference heating capacity of the target time period.

[0038] For example, the above-mentioned preset heating ratios are specifically 1:9, 2:8, 3:7, 4:6, 5:5, 9:1, 8:2, 7:3, and 6:4. In addition, when the heating equipment option is a single electric boiler, the heating capacity corresponding to the coal boiler is directly set to 0. Similarly, when the heating equipment option is a single coal boiler, the heating capacity corresponding to the electric boiler is directly set to 0.

[0039] Based on the rated heating capacity per unit time of electric and coal-fired boilers in the target area stored in the WEB cloud, the heat conversion loss of the thermal class in which the rated heating capacity is located is subtracted to obtain the output upper limit heating capacity of electric and coal-fired boilers in the target area, and compared with the reference heating capacity in the target period to screen the options of various permitted heating equipment.

[0040] It should be noted that the screening requirements for the above-mentioned permitted heating equipment options are that the product of the output upper limit heating capacity per unit time of the electric and coal boilers in the target area and the corresponding preset heating capacity ratio is greater than or equal to the reference heating capacity of the target period.

[0041] Analyze the economic coefficients of each permitted heating equipment option for heating in the target area and target time period and energy consumption coefficient , is the number of each permitted heating equipment option, , thereby obtaining the comprehensive efficiency coefficient of each permitted heating equipment option for heating in the target area and target period, and screening the permitted heating equipment option corresponding to the maximum comprehensive efficiency coefficient as the optimal heating equipment option for the target area and target period. Similarly, obtain the optimal heating equipment option for each unit period of the target area on the same day, so as to preliminarily formulate the heating equipment plan for the target area on that day.

[0042] Specifically, the The analysis process includes: determining the cumulative heating cost of each permitted heating equipment option corresponding to the electric and coal boilers during the target period based on the proportional relationship between the heating capacity of each permitted heating equipment option and the electric and coal boilers, and using it as the denominator to conduct a ratio analysis with the preset reference heating cost to obtain the economic coefficient of each permitted heating equipment option for heating in the target area and target period.

[0043] It should be noted that the process of confirming the cumulative heating costs of the electric and coal-fired boilers corresponding to the above-mentioned permitted heating equipment options during the target period is as follows: retrieve the electricity price corresponding to the unit heating capacity in the target area during the target period in the current season, multiply it by the heating capacity provided by the electric boilers in the target area in each permitted heating equipment option during the target period to obtain the heating costs of the electric boilers corresponding to each permitted heating equipment option during the target period; retrieve the coal price corresponding to the unit heating capacity in the target area during the current season, multiply it by the heating capacity provided by the coal-fired boilers in the target area in each permitted heating equipment option during the target period to obtain the heating costs of the coal boilers corresponding to each permitted heating equipment option during the target period; add up the heating costs of the electric and coal-fired boilers corresponding to each permitted heating equipment option during the target period, and thus confirm the cumulative heating costs of the electric and coal-fired boilers corresponding to each permitted heating equipment option during the target period.

[0044] Specifically, the The analysis process includes: according to the proportional relationship between the heating capacity of electric and coal boilers corresponding to each permitted heating equipment option, determining the cumulative heat conversion loss corresponding to the heat load class of the heating capacity of electric and coal boilers corresponding to each permitted heating equipment option during the target period, and using it as a numerator to perform ratio analysis with the preset reference heating conversion loss to obtain the energy consumption coefficient of each permitted heating equipment option for heating in the target area and target period.

[0045] Specifically, the calculation formula for the comprehensive efficiency coefficient of each permitted heating equipment option for heating in the target area and target period is: .

[0046] The embodiment of the present invention comprehensively considers time characteristics, historical heating characteristics and weather characteristics, and applies multivariate regression analysis to predict the heating demand for each unit time period in the target area on the same day. The factors considered are comprehensive and detailed, making the prediction results more accurate and reliable, thereby helping to rationally arrange heating resources and avoid energy waste.

[0047] S6. Identify whether there are operational health risks for the electric and coal-fired boilers in the target area during each unit time period of the day during the simulated execution process of the preliminary proposed target area heating equipment plan for the day, and revise the preliminary proposed target area heating equipment plan for the day based on this, and provide feedback on the revised plan.

[0048] Specifically, the preliminary plan for the target area's heating equipment for the day is revised, including: retrieving the management log information of the target area's electric and coal-fired boilers, including the years of service, the number of maintenances within the historical preset period and the level of each maintenance, evaluating the life health status level of the target area's electric and coal-fired boilers, and thereby extracting the high-intensity operation time limit threshold corresponding to the life health status level of the target area's electric and coal-fired boilers on the WEB cloud.

[0049] It should be noted that the evaluation process of the life health status level of the electric and coal-fired boilers in the target area is as follows: according to the equipment health reference decay curve with the service life as the horizontal axis and the basic life health status coefficient as the vertical axis provided in the target area electric and coal-fired boiler manufacturing technical manual, the basic life health status coefficient corresponding to the service life of the electric and coal-fired boilers in the target area is retrieved, the maintenance complexity weight corresponding to each maintenance level is set, and the maintenance complexity weight is calculated based on the number of maintenance times within the preset period in the history of the electric boilers in the target area. And the maintenance level of each maintenance corresponds to the maintenance complexity weight , The number of each maintenance. , according to the formula Evaluate the maintenance level of electric boilers in the target area within the historical preset period, including In order to preset the reference maintenance times, the maintenance degree of the coal boilers in the target area within the historical preset period is evaluated in the same way. According to the life health status level stored in the WEB cloud corresponding to the basic life health status coefficient range and the maintenance degree range within the historical preset period, the life health status level of the electric and coal boilers in the target area is matched.

[0050] Determine the working power threshold corresponding to the high-intensity operation of electric boilers in the target area and the combustion coal quality threshold corresponding to the high-intensity operation of coal boilers. During the simulation execution of the preliminary proposed heating equipment plan for the target area on that day, collect the continuous high-intensity operation time of electric and coal boilers in the target area as of the end time of each unit time period on that day.

[0051] If the continuous high-intensity operation time of any boiler in the target area of ​​a certain unit time period on the day is greater than the high-intensity operation time limit threshold corresponding to its life health status level, then the boiler is identified as having an operation health risk, and the optimal heating equipment option for that unit time period on the day needs to be revised. The heating capacity of the boiler with an operation health risk in that unit time period on the day is determined to be reduced, so as to readjust the heating capacity ratio between electric and coal boilers in that unit time period on the day, and then revise the preliminary heating equipment plan for the target area on the day.

[0052] Specifically, the determination of reducing the heating capacity of the boilers with operating health risks in the unit time period on the day includes: extracting the heating capacity provided by the boilers with operating health risks in the unit time period on the day from the preliminary planned heating equipment plan for the target area on the day.

[0053] The duration of continuous high-intensity operation of the boiler with an operation health risk as of the end of the unit time period on the same day is subtracted from the high-intensity operation duration limit threshold corresponding to its life health status level, and the difference and the proportion of the unit time are further multiplied by the heating capacity of the boiler with an operation health risk in the unit time period on the same day, so as to determine the reduced heating capacity of the boiler with an operation health risk in the unit time period on the same day.

[0054] The embodiment of the present invention preliminarily formulates a heating equipment plan for the day by comparing the heating prices and heating losses between electric and coal-fired boilers, and identifies whether there are operational health risks for the electric and coal-fired boilers in the target area in each unit time period during the simulated execution process of the heating equipment plan for the day, thereby correcting the heating equipment plan for the day, greatly improving the reliability and safety of the heating equipment plan for the day, and effectively ensuring the stable operation of the heating system.

[0055] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A method for optimizing the operation of combined heating with electric coal boilers, characterized in that: The method includes: S1. Set the preset heating capacity as the benchmark span of the heat load class to plan the heat load at each level; S2. Retrieve the historical heating performance data of electric and coal-fired boilers in the target area, and analyze the heat conversion losses of electric and coal-fired boilers in the target area in the process of supplying heat loads at all levels; S3. retrieve the historical heating performance data of the heating pipeline in the target area, and analyze the heat transfer loss in the heating pipeline in the target area for each level of heat load supply process; S4. Comprehensively consider the time characteristics, historical heating characteristics and weather characteristics of the target area, and use multivariate regression analysis to predict the heating demand of each unit time period in the target area on the day; S5. Determine the heat load class, electricity price cost and coal price cost corresponding to the heating demand of each unit time period in the target area on the day, and preliminarily formulate the heating equipment plan for the target area on the day by comparing the heating prices and heating losses between electric and coal boilers; S6. Identify whether there are operational health risks in each unit time period of the day for the electric and coal boilers in the target area during the simulation execution process of the preliminary proposed target area heating equipment plan for the day, so as to revise the preliminary proposed target area heating equipment plan for the day and provide feedback on the revised plan.

2. The method for optimizing the operation of combined heating with electric coal boiler according to claim 1, characterized in that: The analysis of the heat conversion losses existing in the target area electric and coal boilers in the heat load supply process at each level includes: collecting the output power and output heating capacity of each day and each unit time period in the historical preset period of the electric boiler in the target area, further subtracting the product of the output power and the unit time length from the output heating capacity to obtain the heat conversion loss, thereby obtaining the heat conversion loss of each day and each unit time period in the historical preset period of the electric boiler in the target area, determining the heat load class of the output heating capacity, and counting the heat conversion losses corresponding to the heat load class of each day and each unit time period in the historical preset period of the electric boiler in the target area, and then obtaining the heat conversion losses corresponding to each level of heat load of the electric boiler in the target area through average calculation and sorting; The quality of the coal burned and the output heating capacity of each unit time period on each day within the historical preset period of the coal boiler in the target area are collected, and the product of the quality of the coal burned and the preset low calorific value of the coal configured for the coal boiler in the target area stored in the WEB cloud is further subtracted from the output heating capacity to obtain the heat conversion loss of each unit time period on each day within the historical preset period of the coal boiler in the target area. Then, the heat conversion loss corresponding to each level of heat load of the coal boiler in the target area is obtained in the same way as the method for obtaining the heat conversion loss corresponding to each level of heat load of the electric boiler in the target area.

3. The method for optimizing the operation of combined heating with electric coal boiler according to claim 1, characterized in that: The analysis of the heat transfer loss existing in the target area heating pipeline for each level of heat load supply process includes: accumulating the output heating amount of each day and unit time period of the target area electric and coal boilers in the historical preset cycle to obtain the delivered heating amount of each day and unit time period of the target area heating pipeline in the historical preset cycle; The average internal hot water temperature and the average external ambient temperature of each unit time period on each day within the historical preset period of the heating pipeline in the target area are collected, and the heat conduction loss, heat convection loss and heat radiation loss of the heating pipeline in each unit time period on each day within the historical preset period of the heating pipeline in the target area are evaluated. The cumulative value of the heat conduction loss, heat convection loss and heat radiation loss is used as the heat transfer loss, and the heat load class of the transferred heating amount is determined. The heat transfer loss corresponding to the heat load class on each unit time period on each day within the historical preset period of the heating pipeline in the target area is statistically calculated, and then the heat transfer loss corresponding to each level of heat load in the target area is obtained through mean calculation.

4. The method for optimizing the operation of combined heating with electric coal boiler according to claim 1, characterized in that: The method of predicting the heating demand of the target area in each unit time period of the day includes: obtaining the actual heating demand of each unit time period of each day in the target area within a historical preset period and monitoring indicators of various weather parameters, wherein the various weather parameters include temperature, humidity, precipitation and wind speed; Taking the current day as the starting point, extract historical reference days from the historical preset period according to the preset time span, and collect various time parameter indicators of each historical reference day, wherein each time parameter indicator includes a week status indicator and a holiday status indicator; Extract the actual heating capacity of each unit time period corresponding to each historical reference day in the target area and the monitoring indicators of each weather parameter. Combined with the time parameter indicators of each historical reference day, construct the reference data table of heating in the target area on that day and conduct regression analysis on it, and obtain the benchmark heating capacity corresponding to each unit time period in the target area on that day. , the regression coefficients of each time parameter And the regression coefficients of each weather parameter ,in is the number of each unit time period, , is the number of each time parameter, , is the number of each weather parameter, , collect parameter indicators at each time of the day And the monitoring indicators of each weather parameter corresponding to each unit period , according to the formula The heating demand for each unit period of the target area on the day is predicted, where For the Time parameters correspond to preset weights, For the Each weather parameter corresponds to a preset weight.

5. The method for optimizing the operation of combined heating with electric coal boiler according to claim 1, characterized in that: The preliminary formulation of the target area's heating equipment plan for the day includes: combining electric and coal boilers according to preset heating capacity ratios, constructing various heating equipment options, marking a unit period of the day as a target period, determining the heat transfer loss corresponding to the heat load class of the heating demand in the target period, and accumulating the heat transfer loss with the heating demand in the target period to obtain a reference heating capacity for the target period; Based on the rated heating capacity per unit time of the electric and coal boilers in the target area stored in the WEB cloud, subtract the heat conversion loss of the thermal class where the rated heating capacity is located, so as to obtain the output upper limit heating capacity of the electric and coal boilers in the target area, and compare it with the reference heating capacity in the target period to screen the options of each permitted heating equipment; Analyze the economic coefficients of each permitted heating equipment option for heating in the target area and target time period And energy consumption coefficient , is the number of each permitted heating equipment option, , thereby obtaining the comprehensive efficiency coefficient of each permitted heating equipment option for heating in the target area and target period, and selecting the permitted heating equipment option corresponding to the maximum comprehensive efficiency coefficient as the best heating equipment option for the target area and target period. Similarly, obtaining the best heating equipment option for each unit period of the target area on the day, so as to preliminarily formulate a heating equipment plan for the target area on the day.

6. The method for optimizing and analyzing the operation of electric coal boiler combined heating according to claim 5, characterized in that: Said The analysis process includes: determining the cumulative heating cost of each permitted heating equipment option corresponding to the electric and coal boilers during the target period based on the proportional relationship between the heating capacity of each permitted heating equipment option and the heating capacity of each coal boiler, using it as the denominator for ratio analysis with the preset reference heating cost, so as to obtain the economic coefficient of each permitted heating equipment option for heating in the target area and target period.

7. The method for optimizing and analyzing the operation of electric coal boiler combined heating according to claim 5, characterized in that: Said The analysis process includes: according to the proportional relationship between the heating capacity of electric and coal boilers corresponding to each permitted heating equipment option, determine the cumulative heat conversion loss corresponding to the heat load class of the heating capacity of electric and coal boilers in the target time period corresponding to each permitted heating equipment option, and use it as the numerator to perform ratio analysis with the preset reference heating conversion loss to obtain the energy consumption coefficient of each permitted heating equipment option for heating in the target area and target time period.

8. The method for optimizing and analyzing the operation of electric coal boiler combined heating according to claim 5, characterized in that: The calculation formula for the comprehensive efficiency coefficient of each permitted heating equipment option for heating in the target area and target period is: 。 9. The method for optimizing and analyzing the operation of electric coal boiler combined heating according to claim 1, characterized in that: The preliminary proposed daily heating equipment plan for the target area is revised, including: retrieving the management log information of the electric and coal boilers in the target area, including the service life, the number of maintenance times within the historical preset cycle and the maintenance level of each maintenance, evaluating the life health status level of the electric and coal boilers in the target area, and extracting the high-intensity operation time limit threshold corresponding to the life health status level of the electric and coal boilers in the target area on the WEB cloud; Determine the working power threshold corresponding to the high-intensity operation of electric boilers in the target area and the combustion coal quality threshold corresponding to the high-intensity operation of coal boilers. During the simulation execution of the preliminary proposed heating equipment plan for the target area on that day, collect the continuous high-intensity operation time of electric and coal boilers in the target area as of the end time of each unit time period on that day; If the continuous high-intensity operation time of any boiler in the target area of ​​a unit time period on the day as of the end time point of each unit time period on the day is greater than the high-intensity operation time limit threshold corresponding to its life health status level, then the boiler is identified as having an operation health risk, and there is a need to correct the optimal heating equipment option for that unit time period on the day. The heating capacity of the boiler with an operation health risk in that unit time period on the day is determined to be reduced, so as to readjust the heating capacity ratio between electric and coal boilers in that unit time period on the day, and then correct the preliminary heating equipment plan for the target area on that day.

10. The method for optimizing and analyzing the operation of electric coal boiler combined heating according to claim 9, characterized in that: The determination of the reduced heating amount of the boilers with health risks in the unit time period on the day includes: extracting the heating amount provided by the boilers with health risks in the unit time period on the day from the initially prepared heating equipment plan for the target area on the day; The duration of continuous high-intensity operation of the boiler with operation health risks as of the end time of the unit time period on the same day is subtracted from the high-intensity operation duration limit threshold corresponding to its life health status level, and the difference and the ratio of the unit time are further multiplied by the heating capacity of the boiler with operation health risks in the unit time period on the same day, so as to determine the reduced heating capacity of the boiler with operation health risks in the unit time period on the same day.

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