A centralized heating primary pipeline network energy supply balance operation regulation monitoring and control system

Abstract

This invention relates to the field of primary heating network technology, specifically disclosing a centralized heating primary heating network energy supply balance operation regulation monitoring and control system. The system includes a user area estimated heat demand analysis module, a user area comprehensive heat demand analysis module, an energy station heat distribution module, an energy station heat transmission detection module, an energy station transmission quality assessment module, a display terminal, a protection terminal, and a cloud database. This invention ensures the accuracy and precision of the actual heat supply analysis for user areas, thereby improving the heating efficiency and effect of energy stations. It safeguards the revenue of energy stations on one hand and ensures normal use on the user side on the other. This invention alleviates the pressure on energy stations while meeting the heating needs of users, thereby improving the relative balance of energy stations, reducing the deviation between heat supply and heat demand to a certain extent, and improving the efficiency of centralized energy supply.

Description

Technical Field

[0001] This invention relates to the field of primary pipeline technology, and more specifically, to a monitoring and control system for the energy supply balance operation of a centralized heating primary pipeline. Background Technology

[0002] Centralized energy supply primary pipeline refers to the centralized distribution of different types of energy sources to users through a common pipeline network. Balance analysis of the centralized energy supply primary pipeline network can help determine the degree of matching between energy supply and demand. By analyzing and predicting energy demand in different time periods, it can be ensured that energy supply can meet demand, avoiding oversupply or undersupply, thereby ensuring the efficiency of centralized heating. In actual operation, if the flow rate of the primary pipeline is not balanced with the flow rate of the heat exchange stations connected to it, it will affect the normal operation of related equipment, thus failing to guarantee the continuous operation of centralized energy supply and reducing the efficiency of centralized energy supply to a certain extent. Therefore, the analysis of the centralized energy supply primary pipeline network is extremely necessary.

[0003] The analysis of the primary pipeline network for centralized energy supply in the existing technology can basically meet the current requirements, but there are still some defects, which are specifically reflected in the following aspects: (1) In the existing technology, when centralized energy supply is used, the heating function is mostly turned on by the user side, and the centralized energy supply is turned on to supply energy to the user side. There is a lack of analysis on the estimated heat supply to the user side. Since the heat supply to the user side shows a certain regularity, the appropriate heat supply to the user side can be inferred from this. The neglect of this aspect in the existing technology makes it difficult to ensure the rationality and accuracy of the heat generation of the energy station, thereby reducing the heating efficiency and heating effect of the energy station. On the one hand, it affects the income of the energy station, and on the other hand, it affects the normal use of the user side, which is not conducive to the long-term sustainable development of the energy station.

[0004] (2) In the existing technology, most of the centralized heating is carried out at the rated rate, and the attention to the appropriate heating rate on the user side is not high. The neglect of this aspect in the existing technology makes it difficult to ensure that the pressure on the energy station is relieved while meeting the heating needs of the user side, thereby reducing the relative balance of the energy station, increasing the deviation between the heating supply and the heating demand to a certain extent, and thus increasing the damage rate of related equipment, prolonging the heating time of centralized energy supply, and affecting the heating effect on the user side. Summary of the Invention

[0005] To overcome the shortcomings in the prior art, embodiments of the present invention provide a centralized heating primary pipeline network energy supply balance operation regulation monitoring and control system, which can effectively solve the problems involved in the prior art.

[0006] The objective of this invention can be achieved through the following technical solution: a centralized heating primary pipeline energy supply balance operation adjustment monitoring and control system, comprising: a user area estimated heat demand analysis module, used to obtain historical heat usage parameters corresponding to each user area, and then analyze the estimated heat demand corresponding to each user area in each detection time period within a set period.

[0007] The user area comprehensive demand heat analysis module is used to obtain historical operating parameters of the primary pipeline network and analyze the actual demand heat supply corresponding to each user area in each detection time period within a set cycle.

[0008] The heat distribution module of the energy station is used to distribute the heat generated by the energy station at the current time point according to the actual heat demand of each user area in each detection time period within a set cycle, and analyze the appropriate transmission rate of each user area at the current time point, so as to carry out heat transmission accordingly.

[0009] The heat transfer detection module of the energy station is used to detect the main pipeline and each decentralized branch of the energy station when the energy station is transferring heat, and then obtain the detection parameters corresponding to the main pipeline and each decentralized branch of the energy station.

[0010] The energy station transmission quality assessment module is used to assess the transmission quality of the corresponding energy station.

[0011] The display terminal is used to display the transmission quality corresponding to the energy station.

[0012] The protection terminal is used to obtain real-time information on whether the heating button in each user area is turned off. If the heating button is turned off, a protection operation is performed.

[0013] The cloud database is used to store the distributed branches corresponding to each user area, store the relationship between the comprehensive transmission quality coefficient and the corrected heat, and store the required heat range corresponding to each suitable transmission rate.

[0014] Furthermore, the historical heat usage parameters corresponding to each user area include the total heat usage for each detection time period corresponding to each natural day within the set period.

[0015] Furthermore, the estimated heat demand for each user area within each detection time period of the set period is specifically analyzed by extracting the total heat usage Q for each detection time period corresponding to each natural day within the set period from the historical heat usage parameters of each user area. rmp Where r is the ID of each user region, r = 1, 2, ..., w, m is the ID of each natural day, m = 1, 2, ..., l, and p is the ID of each detection time period, p = 1, 2, ..., q.

[0016] Analyze the estimated demand for each user region within each detection time period of the set period. l represents the number of natural days.

[0017] Furthermore, the historical operating parameters of the primary pipeline network include: the heat and temperature transmitted by the starting end of the main pipeline during each detection time period on each natural day within a set period, the heat and temperature received by the terminal during each detection time period on each natural day within a set period, and the heat and temperature transmitted by each of the branch pipelines within a set period during each detection time period on each natural day.

[0018] The heat received, heat sent, and temperature of each heat exchange station belonging to each branch line within the set cycle for each natural day and each detection time period.

[0019] Furthermore, the specific method for analyzing the actual demand for heat supply for each user area within each detection time period of the set cycle is as follows: based on the historical operating parameters of the primary pipeline network, analyze the transmission quality coefficient η1 of the main pipeline within the set cycle and the transmission quality coefficient η2 of each distributed branch line within each detection time period. ip and the transmission quality coefficient η3 of each distributed branch heat exchange station in each detection time period. ip , where i is the number of each distributed branch, i = 1, 2, ..., n.

[0020] Comprehensive analysis of the overall transmission quality coefficient of each distributed branch of the primary pipeline network within a set period and corresponding to each detection time period. Where γ1, γ2, and γ3 are the weighting coefficients corresponding to the predefined transmission quality of the main pipeline, the transmission quality of the distributed branch pipeline, and the transmission quality of the heat exchange station, respectively.

[0021] Based on the comprehensive transmission quality coefficient of each distributed branch of the primary pipeline within a set period and the corresponding detection time period, and combined with the distributed branches of each user area stored in the cloud database, the comprehensive transmission quality coefficient of each user area for each detection time period is extracted.

[0022] The comprehensive transmission quality coefficients corresponding to each detection time period of each user area are imported into the relationship graph between the comprehensive transmission quality coefficients and the corrected heat stored in the cloud database, thereby obtaining the corrected heat corresponding to each detection time period of each user area.

[0023] The estimated demand for each user area during each detection time period within the set period is added to the corresponding corrected heat supply to obtain the actual heat supply demand for each user area during each detection time period within the set period.

[0024] Furthermore, the transmission quality coefficient η1 of the main pipeline within a set period is specifically analyzed as follows: The total heat transmitted by the terminal of the main pipeline within each detection time period corresponding to each natural day within the set period is subtracted from the total heat received by the starting end of the main pipeline within each detection time period corresponding to each natural day within the set period. This yields the heat loss value of the main pipeline within each detection time period corresponding to each natural day within the set period. Similarly, the temperature difference T of the main pipeline for each detection time period corresponding to each natural day within the set cycle is obtained through analysis. mp .

[0025] Analyze the transmission quality coefficient of the main pipeline for each detection time period corresponding to each natural day within a set cycle. in T′ is a predefined allowable temperature difference, and λ1 and λ2 are predefined weighting factors for heat loss and temperature change, respectively.

[0026] The detection time periods corresponding to days within a set period where the transmission quality coefficient of the main pipeline is less than a predefined transmission quality coefficient threshold are marked as abnormal detection time periods. Then, the abnormal detection time periods for each day within the set period are counted, and the number of abnormal detection time periods for each day within the set period (SL) is also counted. m and the number of detection time periods SL′ m .

[0027] Analyze the transmission quality coefficient of the main pipeline within a set period. , where ε1 m (p+1) is the transmission quality coefficient of the main pipeline in the p+1th detection time period corresponding to the m-th natural day within the set period, where l and q are the number of natural days and the number of time periods, respectively, and ε1′ is the allowable error corresponding to the predefined transmission quality coefficient.

[0028] Furthermore, the transmission quality coefficient η2 of each distributed branch in each detection time period ip The specific analysis method is as follows: The heat transfer QL corresponding to each detection time period of each natural day within a set period for each branch of the main pipeline is calculated. imp By summing these values, the total heat transmitted (QI′) for each detection time period on each natural day within a set period can be obtained for the distributed branches belonging to the main pipeline. mp .

[0029] Based on the total heat received Q1 during each detection period of each natural day within a set cycle at the starting point of the main pipeline. mp The received heat Q2 of each distributed branch heat exchange station within the set cycle for each natural day and each detection time period.mp .

[0030] Based on the temperature TI of each distributed branch of the main pipeline within the set cycle for each natural day and each detection time period. imp The temperature TI′ of each distributed branch heat exchange station within the set cycle corresponding to each natural day and each detection time period. imp Analyze the temperature change anomaly coefficients of each distributed branch during each detection time period. Where TI″ is a predefined allowable temperature variation value.

[0031] Analyze the transmission quality coefficients of each distributed branch during each detection time period.

[0032]

[0033] Furthermore, the analysis of the transmission quality coefficient η3 of each distributed branch heat exchange station in each detection time period is as follows: ip The specific analysis method is as follows: obtain the actual heat supply and temperature of each user area corresponding to each heat exchange station within the set period for each detection time period.

[0034] The analysis method is consistent with the analysis of the transmission quality coefficient of each distributed branch in each detection time period, and analyzes the transmission quality coefficient η3 of the heat exchange station to which each distributed branch belongs in each detection time period. ip .

[0035] Furthermore, the detection parameters include the flow rate and flow rate for each test time period.

[0036] Furthermore, the specific analysis method for the transmission quality corresponding to the energy station is as follows: extract the flow velocity v of the main pipeline during each test time period from the detection parameters corresponding to the main pipeline and each distributed branch of the energy station. f and traffic rape f And extract the flow velocity v′ of each distributed branch during each test time period. if and traffic QJ′ if , where f is the number of each test time period, f = 1, 2, ..., t.

[0037] The appropriate transmission rate for each user area at the current time point is used as the reference transmission rate v″ for each distributed branch. i .

[0038] Analyze the transmission quality corresponding to the energy station in v″′ represents the reference rate corresponding to the predefined main pipeline, t represents the number of test time periods, n represents the number of distributed branches, and χ1, χ2, and χ3 represent the proportion factors corresponding to the predefined appropriate rates for the main pipeline, distributed branches, and flow losses, respectively.

[0039] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention analyzes the estimated heat demand of the user area in the user area estimated heat demand analysis module, thereby laying the foundation for the analysis of the actual heat supply demand of the user area in the future.

[0040] (2) In the comprehensive demand heat analysis module of the user area, the present invention analyzes the corrected heat corresponding to the user area through the historical operating parameters of the primary pipeline network, thereby ensuring the accuracy and precision of the actual demand heat supply analysis of the user area, thereby improving the heating efficiency and heating effect of the energy station. On the one hand, it ensures the income of the energy station, and on the other hand, it ensures the normal use of the user side, which is conducive to the long-term sustainable development of the energy station.

[0041] (3) In the heat distribution module of the energy station, the present invention analyzes the appropriate heating rate on the user side, thereby ensuring that the pressure on the energy station is relieved while meeting the heating needs of the user side, thereby improving the relative balance of the energy station, reducing the deviation between the heating supply and the heating demand to a certain extent, thereby reducing the damage rate of related equipment, improving the efficiency of centralized energy supply, and ensuring the heating effect on the user side.

[0042] (4) The present invention detects the heat transmission of the energy station in the heat transmission detection module of the energy station, thereby providing strong data support for the subsequent evaluation of the transmission quality of the energy station.

[0043] (5) The present invention evaluates the transmission quality of the energy station in the energy station transmission quality assessment module, thereby ensuring the transmission quality of the energy station and providing data support for the maintenance work of relevant personnel. Attached Figure Description

[0044] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present invention. For those skilled in the art, other drawings can be obtained based on the following drawings without creative effort.

[0045] Figure 1 This is a schematic diagram of the module connection of the present invention.

[0046] Figure 2 This is a schematic diagram of the pipeline of the present invention.

[0047] Attached diagram labels: 1: Energy station, 2: Manifold, 3: Heat exchange station, 4: User area, 5: Main pipeline, 6: Decentralized branch line. Detailed Implementation

[0048] 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, and 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.

[0049] Reference Figure 1 and Figure 2 As shown, the present invention provides a centralized heating primary pipeline network energy supply balance operation regulation monitoring and control system, including a user area estimated heat demand analysis module, a user area comprehensive heat demand analysis module, an energy station heat distribution module, an energy station heat transmission detection module, an energy station transmission quality assessment module, a display terminal, a protection terminal, and a cloud database.

[0050] It should be noted that, Figure 2 1 is the energy station. The heat generated by the energy station is distributed through the main pipeline and then distributed by the manifold. The heat is then transmitted to the heat exchange station through the corresponding pipelines of each branch, and then used to supply heat to the user area.

[0051] The user area estimated heat demand analysis module is connected to the user area comprehensive heat demand analysis module. The user area comprehensive heat demand analysis module is connected to the energy station heat distribution module. The energy station heat distribution module is connected to the energy station heat transmission detection module and the protection terminal. The energy station heat transmission detection module is connected to the energy station transmission quality assessment module. The energy station transmission quality assessment module is connected to the display terminal. The cloud database is connected to the user area comprehensive heat demand analysis module and the energy station heat distribution module.

[0052] The user area estimated heat demand analysis module is used to obtain the historical heat usage parameters corresponding to each user area, and then analyze the estimated heat demand of each user area in each detection time period within a set period.

[0053] In a specific embodiment of the present invention, the historical heat usage parameters corresponding to each user area include the total heat usage for each detection time period corresponding to each natural day within a set period.

[0054] In a specific embodiment of the present invention, the estimated heat demand corresponding to each detection time period within a set period for each user area is analyzed by extracting the total heat usage Q for each detection time period corresponding to each natural day within the set period from the historical heat usage parameters of each user area. rmpWhere r is the ID of each user region, r = 1, 2, ..., w, m is the ID of each natural day, m = 1, 2, ..., l, and p is the ID of each detection time period, p = 1, 2, ..., q.

[0055] Analyze the estimated demand for each user region within each detection time period of the set period. l represents the number of natural days.

[0056] This invention analyzes the estimated heat demand in user areas within the user area estimated heat demand analysis module, thereby laying the foundation for subsequent analysis of the actual heat supply demand in user areas.

[0057] The comprehensive demand heat analysis module for user areas is used to obtain historical operating parameters of the primary pipeline network and analyze the actual demand heat supply corresponding to each detection time period within a set cycle for each user area.

[0058] It should be noted that historical operating parameters of the primary pipeline network are obtained through flow meters and temperature sensors.

[0059] In a specific embodiment of the present invention, the historical operating parameters of the primary pipeline network include: the heat and temperature transmitted by the starting end of the main pipeline during each detection time period corresponding to each natural day within a set period, the heat and temperature received by the terminal during each detection time period corresponding to each natural day within a set period, and the heat and temperature transmitted by each of the branch pipelines within the main pipeline during each detection time period corresponding to each natural day within a set period.

[0060] The heat received, heat sent, and temperature of each heat exchange station belonging to each branch line within the set cycle for each natural day and each detection time period.

[0061] In a specific embodiment of the present invention, the method for analyzing the actual demand for heat supply for each user area within a set period and corresponding to each detection time period is as follows: Based on the historical operating parameters of the primary pipeline network, analyze the transmission quality coefficient η1 of the main pipeline within the set period and the transmission quality coefficient η2 of each distributed branch line within each detection time period. ip and the transmission quality coefficient η3 of each distributed branch heat exchange station in each detection time period. ip , where i is the number of each distributed branch, i = 1, 2, ..., n.

[0062] Comprehensive analysis of the overall transmission quality coefficient of each distributed branch of the primary pipeline network within a set period and corresponding to each detection time period. Where γ1, γ2, and γ3 are the weighting coefficients corresponding to the predefined transmission quality of the main pipeline, the transmission quality of the distributed branch pipeline, and the transmission quality of the heat exchange station, respectively.

[0063] Based on the comprehensive transmission quality coefficient of each distributed branch of the primary pipeline within a set period and the corresponding detection time period, and combined with the distributed branches of each user area stored in the cloud database, the comprehensive transmission quality coefficient of each user area for each detection time period is extracted.

[0064] The comprehensive transmission quality coefficients corresponding to each detection time period of each user area are imported into the relationship graph between the comprehensive transmission quality coefficients and the corrected heat stored in the cloud database, thereby obtaining the corrected heat corresponding to each detection time period of each user area.

[0065] The estimated demand for each user area during each detection time period within the set period is added to the corresponding corrected heat supply to obtain the actual heat supply demand for each user area during each detection time period within the set period.

[0066] In a specific embodiment of the present invention, the transmission quality coefficient η1 of the main pipeline within a set period is specifically analyzed as follows: the total heat transmitted by the terminal of the main pipeline within each detection time period corresponding to each natural day within the set period is subtracted from the total heat received by the starting end of the main pipeline within each detection time period corresponding to each natural day within the set period, thereby obtaining the heat loss value of the main pipeline within each detection time period corresponding to each natural day within the set period. Similarly, the temperature difference T of the main pipeline for each detection time period corresponding to each natural day within the set cycle is obtained through analysis. mp .

[0067] Analyze the transmission quality coefficient of the main pipeline for each detection time period corresponding to each natural day within a set cycle. in T′ is a predefined allowable temperature difference, and λ1 and λ2 are predefined weighting factors for heat loss and temperature change, respectively.

[0068] The detection time periods corresponding to days within a set period where the transmission quality coefficient of the main pipeline is less than a predefined transmission quality coefficient threshold are marked as abnormal detection time periods. Then, the abnormal detection time periods for each day within the set period are counted, and the number of abnormal detection time periods for each day within the set period (SL) is also counted. m and the number of detection time periods SL′ m .

[0069] Analyze the transmission quality coefficient of the main pipeline within a set period. , where ε1 m(p+1) is the transmission quality coefficient of the main pipeline in the p+1th detection time period corresponding to the m-th natural day within the set period, where l and q are the number of natural days and the number of time periods, respectively, and ε1′ is the allowable error corresponding to the predefined transmission quality coefficient.

[0070] In a specific embodiment of the present invention, the transmission quality coefficient η2 of each distributed branch in each detection time period ip The specific analysis method is as follows: The heat transfer QL corresponding to each detection time period of each natural day within a set period for each branch of the main pipeline is calculated. imp By summing these values, the total heat transmitted (QI′) for each detection time period on each natural day within a set period can be obtained for the distributed branches belonging to the main pipeline. mp .

[0071] Based on the total heat received Q1 during each detection period of each natural day within a set cycle at the starting point of the main pipeline. mp The received heat Q2 of each distributed branch heat exchange station within the set cycle for each natural day and each detection time period. mp .

[0072] Based on the temperature TI of each distributed branch of the main pipeline within the set cycle for each natural day and each detection time period. imp The temperature TI′ of each distributed branch heat exchange station within the set cycle corresponding to each natural day and each detection time period. imp Analyze the temperature change anomaly coefficients of each distributed branch during each detection time period. Where TI″ is a predefined allowable temperature variation value.

[0073] Analyze the transmission quality coefficients of each distributed branch during each detection time period.

[0074]

[0075] In a specific embodiment of the present invention, the analysis of the transmission quality coefficient η3 of each distributed branch heat exchange station corresponding to each detection time period is described. ip The specific analysis method is as follows: obtain the actual heat supply and temperature of each user area corresponding to each heat exchange station within the set period for each detection time period.

[0076] The analysis method is consistent with the analysis of the transmission quality coefficient of each distributed branch in each detection time period, and analyzes the transmission quality coefficient η3 of the heat exchange station to which each distributed branch belongs in each detection time period. ip .

[0077] This invention analyzes the corrected heat supply for user areas by examining historical operating parameters of the primary pipeline network in the comprehensive demand heat analysis module for user areas. This ensures the accuracy and precision of the actual demand heat supply analysis for user areas, thereby improving the heating efficiency and effect of the energy station. On the one hand, it guarantees the revenue of the energy station, and on the other hand, it ensures the normal use by users, which is conducive to the long-term sustainable development of the energy station.

[0078] The heat distribution module of the energy station is used to distribute the heat generated by the energy station at the current time point according to the actual heat demand of each user area in each detection time period within a set cycle, and analyze the appropriate transmission rate of each user area at the current time point, so as to carry out heat transmission accordingly.

[0079] It should be noted that the appropriate delivery rate for each user area at the current time point is analyzed by comparing the current time point with each detection time period, filtering the detection time period to which the current time point belongs and each detection time period after the current time point, and marking them as the current time period and each heating time period respectively.

[0080] The system obtains the percentage of the current time period within the current time period, multiplies it by the actual heat demand corresponding to the current time period, and obtains the remaining actual heat demand corresponding to the current time period. It also obtains the actual heat demand corresponding to each user area in each heating time period within the set period, thus obtaining the remaining actual heat demand corresponding to the current time period and the actual heat demand corresponding to each heating time period within the set period for each user area.

[0081] It should also be noted that the specific method for analyzing the suitable delivery rate for each user area at the current time point is as follows: based on the current time point, extract the remaining actual heat demand corresponding to the current time period of each user area within a set period, and compare it with the heat demand intervals corresponding to each suitable delivery rate stored in the cloud database to filter the suitable delivery rate corresponding to each user area in the current time period.

[0082] It should also be noted that, consistent with the above analysis method for determining the appropriate delivery rate for each user area at the current time point, the analysis also considers the appropriate delivery rate for each user area during each heating period.

[0083] This invention analyzes the appropriate heating rate on the user side in the heat distribution module of the energy station, thereby ensuring that the pressure on the energy station is relieved while meeting the heating needs of the user side. This improves the relative balance of the energy station, reduces the deviation between the heating supply and the heating demand to a certain extent, reduces the damage rate of related equipment, improves the efficiency of centralized energy supply, and ensures the heating effect on the user side.

[0084] The heat transmission detection module of the energy station is used to detect the main pipeline and each decentralized branch of the energy station when the energy station is transmitting heat, and then obtain the detection parameters corresponding to the main pipeline and each decentralized branch of the energy station.

[0085] This invention performs detection during the heat transmission process of an energy station in the heat transmission detection module, thereby providing strong data support for subsequent energy station transmission quality assessment.

[0086] The energy station transmission quality assessment module is used to assess the transmission quality corresponding to the energy station.

[0087] In a specific embodiment of the present invention, the detection parameters include the flow rate and flow volume for each test time period.

[0088] It should be noted that the flow rate for each test time period is specifically calculated by dividing the flow rate of each test time period by the duration of the test time period.

[0089] In a specific embodiment of the present invention, the specific analysis method for the transmission quality corresponding to the energy station is as follows: extracting the flow velocity v of the main pipeline during each test time period from the detection parameters corresponding to the main pipeline to which the energy station belongs and each distributed branch. f and traffic rape f And extract the flow velocity v′ of each distributed branch during each test time period. if and traffic QJ′ if , where f is the number of each test time period, f = 1, 2, ..., t.

[0090] The appropriate transmission rate for each user area at the current time point is used as the reference transmission rate v″ for each distributed branch. i .

[0091] Analyze the transmission quality corresponding to the energy station in v″′ represents the reference rate corresponding to the predefined main pipeline, t represents the number of test time periods, n represents the number of distributed branches, and χ1, χ2, and χ3 represent the proportion factors corresponding to the predefined appropriate rates for the main pipeline, distributed branches, and flow losses, respectively.

[0092] It should be noted that the reference rate corresponding to the predefined main pipeline is specifically obtained by: based on the flow velocity of the main pipeline in each test time period, removing the maximum and minimum flow velocities, and then averaging all the remaining flow velocities to obtain the reference rate corresponding to the main pipeline.

[0093] This invention assesses the transmission quality of an energy station within an energy station transmission quality assessment module, thereby ensuring the transmission quality of the energy station and providing data support for subsequent maintenance work by relevant personnel.

[0094] The display terminal is used to display the transmission quality corresponding to the energy station.

[0095] The protection terminal is used to obtain in real time whether the heating button in each user area is turned off. If the heating button is turned off, a protection operation is performed.

[0096] It should be noted that the protection operation specifically involves: reducing the appropriate delivery rate of the user area where the heating button is turned off to the predefined protection delivery rate at the current time point, and increasing the heat recovery rate of the user area to the predefined protection recovery rate at the current time point.

[0097] The cloud database is used to store the distributed branches corresponding to each user area, store the relationship diagram between the comprehensive transmission quality coefficient and the corrected heat, and store the required heat range corresponding to each suitable transmission rate.

[0098] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, and all such modifications and additions should fall within the protection scope of the present invention.

Claims

1. A centralized heating primary pipeline network energy supply balance operation regulation monitoring and control system, characterized in that, include: The user area estimated heat demand analysis module is used to obtain the historical heat usage parameters corresponding to each user area, and then analyze the estimated heat demand of each user area in each detection time period within the set period. The user area comprehensive demand heat analysis module is used to obtain historical operating parameters of the primary pipeline network and analyze the actual demand heat supply corresponding to each user area in each detection time period within a set cycle. The specific method for analyzing the actual heat demand supply for each user area within a set period and corresponding to each detection time period is as follows: Based on the historical operating parameters of the primary pipeline network, analyze the transmission quality coefficient of the main pipeline within the set period. The transmission quality coefficient of each distributed branch in each detection time period and the transmission quality coefficients of the heat exchange stations belonging to each distributed branch line in each detection time period. ,in The numbers for each branch are used to indicate the numbering of the branch roads. Comprehensive analysis of the overall transmission quality coefficient of each distributed branch of the primary pipeline network within a set period and corresponding to each detection time period. ,in , , These are weighted coefficients corresponding to the predefined transmission quality of the main pipeline, the transmission quality of the distributed branches, and the transmission quality of the heat exchange station. Based on the comprehensive transmission quality coefficients of each distributed branch of the primary pipeline within a set period and the distributed branches of each user area stored in the cloud database, the comprehensive transmission quality coefficients of each user area for each detection period are extracted. The comprehensive transmission quality coefficients corresponding to each detection time period of each user area are imported into the relationship graph between the comprehensive transmission quality coefficients and the corrected heat stored in the cloud database, thereby obtaining the corrected heat corresponding to each detection time period of each user area; the estimated demand corresponding to each detection time period of each user area within the set period is added to the corresponding corrected heat, thereby obtaining the actual demand supply heat corresponding to each detection time period of each user area within the set period. The heat distribution module of the energy station is used to distribute the heat generated by the energy station at the current time point according to the actual heat demand of each user area in each detection time period within a set cycle, and analyze the appropriate transmission rate of each user area at the current time point, so as to carry out heat transmission accordingly. The heat transfer detection module of the energy station is used to detect the main pipeline and each decentralized branch of the energy station when the energy station is transferring heat, and then obtain the detection parameters corresponding to the main pipeline and each decentralized branch of the energy station. The energy station transmission quality assessment module is used to assess the transmission quality of the corresponding energy station. The display terminal is used to display the transmission quality corresponding to the energy station; The protection terminal is used to obtain real-time information on whether the heating button in each user area is turned off. If the heating button is turned off, a protection operation is performed. The cloud database is used to store the distributed branches corresponding to each user area, store the relationship between the comprehensive transmission quality coefficient and the corrected heat, and store the required heat range corresponding to each suitable transmission rate.

2. The centralized heating primary pipeline energy supply balance operation regulation monitoring and control system according to claim 1, characterized in that: The historical heat usage parameters corresponding to each user area include the total heat usage for each detection time period corresponding to each natural day within the set period.

3. The centralized heating primary pipeline energy supply balance operation regulation monitoring and control system according to claim 1, characterized in that: The specific analysis method for the estimated heat demand corresponding to each detection time period within the set period for each user area is as follows: Extract the total heat usage for each natural day and detection time period within a set period from the historical heat usage parameters corresponding to each user area. ,in For each user region, , The day number is used to represent each natural day. , These are the numbers for each testing time period. ; Analyze the estimated demand for each user region within each detection time period of the set period. , This represents the number of natural days.

4. The centralized heating primary pipeline energy supply balance operation regulation monitoring and control system according to claim 1, characterized in that: The historical operating parameters of the primary pipeline network include: The heat and temperature transmitted at the starting point of the main pipeline within the set period for each natural day and each detection time period, the heat and temperature received at the terminal within the set period for each natural day and each detection time period, and the heat and temperature transmitted by each of the branch pipelines within the set period for each natural day and each detection time period. The heat received, heat sent, and temperature of each heat exchange station belonging to each branch line within the set cycle for each natural day and each detection time period.

5. The centralized heating primary pipeline energy supply balance operation regulation monitoring and control system according to claim 1, characterized in that: The transmission quality coefficient of the main pipeline within a set period The specific analysis method is as follows: The heat loss value of the main pipeline for each detection period on each day within the set period is obtained by subtracting the total heat transmitted by the terminal of the main pipeline to the terminal of the main pipeline to the total heat received by the starting point of the main pipeline to the total heat received by the terminal ... Similarly, the temperature difference of the main pipeline during each detection time period corresponding to each natural day within the set cycle was obtained through analysis. ; Analyze the transmission quality coefficient of the main pipeline for each detection time period corresponding to each natural day within a set cycle. ,in , For a predefined allowable temperature difference value, , These are predefined weighting factors for the impact of heat loss and temperature changes; The detection time periods corresponding to days within a set period where the transmission quality coefficient of the main pipeline is less than a predefined transmission quality coefficient threshold are marked as abnormal detection time periods. Then, the abnormal detection time periods for each day within the set period are counted, and the number of abnormal detection time periods for each day within the set period is also counted. and the number of detection time periods ; Analyze the transmission quality coefficient of the main pipeline within a set period. ,in The main pipeline corresponds to the first [number] within the set period. The natural day belongs to the first Transmission quality coefficient for each detection time period , These represent the number of calendar days and the number of time periods, respectively. The allowable error corresponding to the predefined transmission quality coefficient.

6. The centralized heating primary pipeline energy supply balance operation regulation monitoring and control system according to claim 5, characterized in that: The transmission quality coefficient of each distributed branch in each detection time period The specific analysis method is as follows: The heat transmitted by each branch of the main pipeline within a set period, corresponding to the detection time period for each natural day. The data is accumulated to obtain the total heat transmitted by the distributed branches of the main pipeline for each detection time period on each natural day within a set period. ; Based on the total heat received during each detection period of each natural day within a set cycle at the starting point of the main pipeline. The heat received by each distributed branch heat exchange station within the set cycle for each natural day and each detection time period. ; Based on the temperature of each distributed branch of the main pipeline within the set cycle, corresponding to the detection time period of each natural day. The temperature of each heat exchange station belonging to each decentralized branch within the set cycle for each natural day and each detection time period. Analyze the temperature change anomaly coefficients of each distributed branch during each detection time period. ,in For predefined allowable temperature variation values; Analyze the transmission quality coefficients of each distributed branch during each detection time period. .

7. A centralized heating primary pipeline energy supply balance operation regulation monitoring and control system according to claim 6, characterized in that: The analysis of the heat exchange stations belonging to each distributed branch line corresponds to the transmission quality coefficients in each detection time period. The specific analysis method is as follows: Obtain the actual heat supply and temperature of each heat exchange station's corresponding user area for each detection time period within a set cycle; The analysis method is consistent with the analysis of the transmission quality coefficient of each distributed branch in each detection time period, and analyzes the transmission quality coefficient of the heat exchange station to which each distributed branch belongs in each detection time period. .

8. The centralized heating primary pipeline energy supply balance operation regulation monitoring and control system according to claim 1, characterized in that: The detection parameters include flow rate and flow volume for each test time period.

9. A centralized heating primary pipeline energy supply balance operation regulation monitoring and control system according to claim 8, characterized in that: The specific analysis method for the transmission quality corresponding to the energy station is as follows: The flow velocity of the main pipeline during each test period was extracted from the detection parameters corresponding to the main pipeline and each branch pipeline of the energy station. and traffic And extract the flow rate of each distributed branch during each test time period. and traffic ,in These are the numbers for each test time period. ; The appropriate transmission rate for each user area at the current time point is used as the reference transmission rate for each distributed branch. ; Analyze the transmission quality corresponding to the energy station ,in , , The reference rate corresponding to the predefined trunk pipeline. The number of test time periods, To distribute the number of branch roads, , , These are the percentage factors corresponding to the predefined appropriate rates for main pipelines, branch pipelines, and flow losses, respectively.

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