Heat pipe network loss operation control system

Abstract

The invention provides a heat supply pipe network loss operation control system comprising a data acquisition module used for monitoring key operation parameters of a heat supply pipe network; the central analysis module is used for generating a switching decision based on the key operation parameters and preset switching logic; the dynamic control module is used for controlling the action of the valve component based on the switching decision; the feedback control module is used for monitoring the operation state of the auxiliary pipeline after the switching decision is operated and comparing the operation state with the switching decision; the action of the valve component is adjusted according to the comparison result, so that the operation state of the auxiliary pipeline meets the switching decision; through intelligent management and control, the problem of pipe damage existing in a traditional heat supply pipe network is effectively solved, and the overall efficiency, economical efficiency and user experience of the system are improved.

Description

Technical Field

[0001] The invention relates to the technical field of heating pipe networks, and in particular to a heating network pipe loss operation control system. Background Art

[0002] As the seasons change, especially during the transition period between spring and autumn, the weather gradually warms up, and the heat energy demand of users decreases significantly. In this case, the pipe loss problem of the heating system becomes particularly prominent. For example, in a heating area, a DN500-caliber heating main pipe is currently used for heating. As the weather warms up, the heat energy demand on the user side decreases, resulting in a decrease in the instantaneous flow demand in the heating pipeline, but the design flow of the pipeline itself is much greater than the actual demand flow. This mismatch leads to additional heat loss, the so-called "pipe loss".

[0003] Pipe loss not only increases heating costs, but also reduces the operating efficiency of the entire heating system. To meet this challenge, a system is needed that can dynamically adjust the diameter of the heating pipe according to actual heat demand to reduce unnecessary heat loss and improve energy efficiency. In addition, the existing heating network control system may not be able to accurately predict changes in heat demand on the user side, nor can it quickly and effectively switch between pipes of different diameters. Summary of the invention

[0004] The present invention provides a heat network pipe loss operation control system to solve the above technical problems.

[0005] The present invention provides a heat network pipe loss operation control system, which is mounted on a heat supply pipe network, wherein the heat supply pipe network includes a DN500 main pipe, a DN400 auxiliary pipe, a bypass pipe and a valve component, including:

[0006] A data acquisition module, which is arranged at the heating pipe network and is used to monitor key operating parameters of the heating pipe network in real time;

[0007] A central analysis module connected to the data acquisition module, configured to receive key operating parameters and generate a switching decision based on the key operating parameters and a preset switching logic;

[0008] A dynamic control module connected to the central analysis module and the valve component, configured to receive and execute the switching decision, and correspondingly control the action of the valve component to transfer the fluid from the DN500 main pipeline through the bypass pipeline to the DN400 secondary pipeline;

[0009] A feedback control module is connected to the data acquisition module, the dynamic control module and the valve component, and is used to monitor the operating status of the DN400 secondary pipeline after the switching decision is executed, and compare it with the switching decision; and adjust the action of the valve component according to the comparison result so that the operating status of the DN400 secondary pipeline satisfies the switching decision.

[0010] According to a heat network pipe loss operation control system provided by the present invention, the valve component includes a switching valve and a solenoid valve;

[0011] The switching valve is used to switch the fluid between the DN500 main pipeline and the DN400 secondary pipeline;

[0012] The solenoid valve controls its own opening by receiving instructions, and is used to adjust the flow of the DN500 main pipeline or the DN400 auxiliary pipeline.

[0013] According to a heat network pipe loss operation control system provided by the present invention, the data acquisition module includes:

[0014] A temperature acquisition unit, which is connected to a local weather station to acquire ambient temperature data;

[0015] A usage statistics unit, which is connected to the user side and is used to count the user side usage data corresponding to each historical ambient temperature data;

[0016] A pressure difference acquisition unit, which is arranged at both ends of the DN500 main pipeline and the DN400 auxiliary pipeline, and is used to acquire first pressure difference data at both ends of the DN500 main pipeline and second pressure difference data at both ends of the DN400 auxiliary pipeline;

[0017] A density acquisition unit, which is used to acquire density data of the fluid;

[0018] An opening acquisition unit is connected to the solenoid valve and is used to acquire the current valve opening data of the solenoid valve in real time.

[0019] According to a heat network pipe loss operation control system provided by the present invention, the central analysis module includes:

[0020] An environmental analysis unit connected to the temperature acquisition unit and the usage statistics unit; presetting a usage prediction model, substituting historical environmental temperature data and corresponding historical usage data into the model for training; substituting current environmental temperature data into the trained usage prediction model to generate a user-side usage prediction value;

[0021] The flow calculation unit is connected to the pressure difference acquisition unit and the density acquisition unit, and substitutes the acquired data into the formula middle;

[0022] Wherein, Q is the instantaneous flow rate of the DN500 main pipeline, in m3 / h; K is the flow coefficient, obtained based on experiments; d1 is the diameter of the DN500 main pipeline, that is, d1=500mm; ΔP1 is the first pressure difference data; ρ is the density data;

[0023] Substitute the collected data of the DN500 main pipeline into the formula to obtain the instantaneous flow rate Q of the current DN500 main pipeline;

[0024] A switching decision generating unit is connected to the environment analyzing unit and the flow calculating unit, and calculates the ideal instantaneous flow Q0 according to the user-side usage prediction value; generates a switching instruction when the actual instantaneous flow Q is less than the ideal instantaneous flow Q0; and integrates the switching instruction and the ideal instantaneous flow Q0 as the switching decision.

[0025] According to a heat network pipe loss operation control system provided by the present invention, the usage prediction model is:

[0026]

[0027] Among them, Y is the user-side usage prediction value, X is the current ambient temperature data, T i is the historical ambient temperature data, U i For historical user-side usage data, is the average value of historical ambient temperature data, It is the average value of historical user-side usage data; is the slope, representing the change in usage for each degree of temperature change; is the intercept.

[0028] According to a heat network loss operation control system provided by the present invention, the calculation of the ideal instantaneous flow rate Q0 according to the user-side consumption prediction value specifically includes:

[0029] Substitute the user-side usage prediction value Y into the ideal flow calculation model, which is:

[0030] Y=(c p *ρ*ΔT)*Q0

[0031] Among them, c p is the specific heat capacity of the fluid, ρ is the density data, and ΔT is the pre-set heat demand of the user side; (c p *ρ*ΔT) is a constant representing the heat per unit volume flow;

[0032] Substitute the user-side usage prediction value Y into the ideal flow calculation model to obtain the ideal instantaneous flow Q0.

[0033] According to a heat network pipe loss operation control system provided by the present invention, the dynamic control module includes:

[0034] An instruction receiving unit, connected to the switching decision generating unit, configured to receive the switching decision and identify the switching instruction carried by the switching decision;

[0035] The valve switching unit is connected to the instruction receiving unit and the switching valve, and is used to drive the switching valve to work when the instruction receiving unit recognizes the switching instruction, so as to switch the fluid from the DN500 main pipeline to the DN400 secondary pipeline through the bypass pipeline.

[0036] According to a heat network pipe loss operation control system provided by the present invention, the feedback control module includes:

[0037] The flow feedback unit is connected to the pressure difference acquisition unit and the density acquisition unit, and substitutes the acquired data into the formula middle;

[0038] Among them, Q a is the instantaneous flow rate of the DN400 auxiliary pipeline, in units of m3 / h; K is the flow coefficient, obtained based on experiments; d2 is the diameter of the DN400 auxiliary pipeline, that is, d2=400mm; ΔP2 is the second pressure difference data; ρ is the density data;

[0039] Substitute the collected data of the DN400 auxiliary pipeline into the formula to obtain the instantaneous flow rate Q of the current DN400 auxiliary pipeline. a ;

[0040] A feedback determination unit is connected to the flow feedback unit and the instruction receiving unit, and is used to identify the ideal instantaneous flow Q0 carried in the switching decision, and calculate the instantaneous flow Q of the current DN400 secondary pipeline. a The instantaneous flow rate difference ΔQ from the ideal instantaneous flow rate Q0;

[0041] Where ΔQ = Q0-Q a ;

[0042] An adaptive control unit is connected to the feedback determination unit and the electromagnetic valve, substitutes the instantaneous flow difference ΔQ into a PID controller, and adjusts the valve opening of the electromagnetic valve through the PID controller to achieve an ideal instantaneous flow Q0.

[0043] According to a heat network pipe loss operation control system provided by the present invention, the process of substituting the instantaneous flow difference ΔQ into a PID controller and adjusting the valve opening of the solenoid valve by the PID controller includes:

[0044] Substitute the instantaneous flow difference ΔQ as the error signal into the PID algorithm;

[0045] The PID algorithm is:

[0046]

[0047] Among them, K P , K i , K d are proportional, integral and differential gains respectively; e(t) is the error signal, i.e. the instantaneous flow difference ΔQ; u(t) is the output of the PID controller;

[0048] The valve opening of the solenoid valve is adjusted according to the output u(t) of the PID controller.

[0049] A heat network pipe loss operation control system provided by the present invention further includes a fault warning module, which is connected to the opening acquisition unit and is used to summarize the valve opening data of the solenoid valve within a historical preset time limit, substitute it into the fault diagnosis model, and obtain a deviation score;

[0050] The fault diagnosis model is:

[0051]

[0052] Wherein, D(t) is the deviation score, x(t) is the current valve opening data, μ is the average value of the valve opening data of the solenoid valve within the historical preset time limit, and σ is the standard deviation of the valve opening data of the solenoid valve within the historical preset time limit;

[0053] The alarm threshold E is set in advance, and when D(t)>E, the alarm is triggered.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] 1. Reduce pipe loss: By intelligently switching the pipe diameter, heat loss can be reduced when user demand decreases, especially when the weather turns warmer, effectively reducing heating pipe loss in the Wenlin area;

[0056] 2. Improve energy efficiency: By dynamically adjusting the pipe diameter and flow rate, the heating system can better match the actual demand, reduce unnecessary heat transmission, and thus improve energy utilization;

[0057] 3. Enhance the flexibility and responsiveness of the system: The intelligent switching of the heating pipeline is realized, and the heating pipeline can be quickly adjusted according to the user-side usage forecast value, which enhances the system's response speed to changing demand;

[0058] 4. Optimize flow control: Through the flow calculation unit and the ideal flow calculation model, the ideal instantaneous flow can be accurately calculated, and the dynamic control module can be used for precise adjustment to ensure the stable operation of the heating system;

[0059] 5. Improve system stability: The actual operating status of the auxiliary pipeline is monitored through the feedback control module, and the opening of the solenoid valve is automatically adjusted through the PID controller to keep the system running in an ideal state, thereby improving the stability and reliability of the entire system;

[0060] 6. Simplified maintenance and management: The integrated data acquisition module and central analysis module realize automatic monitoring and control, reduce the need for manual intervention, and simplify maintenance and management work;

[0061] 7. Improve economic benefits: Reducing heat loss means reducing energy costs and improving heating efficiency, thereby improving the economic benefits of heating companies;

[0062] 8. Improve user experience: More accurate heat supply can better meet the actual needs of users, avoid overheating or underheating, and improve user satisfaction;

[0063] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0064] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0066] Figure 1 It is a structural schematic diagram of a heat network loss operation control system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0067] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0068] Embodiment 1:

[0069] The embodiment of the present invention provides a heat network pipe loss operation control system, which is mounted on a heat supply network, wherein the heat supply network includes a DN500 main pipe, a DN400 secondary pipe, a bypass pipe and a valve component, such as Figure 1 As shown, including:

[0070] A data acquisition module is provided at the heating network to monitor the key operating parameters of the heating network in real time;

[0071] A central analysis module connected to the data acquisition module for receiving key operating parameters and generating a switching decision based on the key operating parameters and a preset switching logic;

[0072] A dynamic control module, which is connected to the central analysis module and the valve component, is used to receive and execute the switching decision, corresponding to the action of the control valve component, and transfers the fluid from the DN500 main pipeline through the bypass pipeline to the DN400 secondary pipeline;

[0073] The feedback control module is connected with the data acquisition module, the dynamic control module and the valve component, and is used to monitor the operating status of the DN400 auxiliary pipeline after the switching decision is executed, and compare it with the switching decision; according to the comparison result, the action of the valve component is adjusted so that the operating status of the DN400 auxiliary pipeline meets the switching decision.

[0074] The principle of the above embodiment is: collecting key operating parameters, such as temperature, pressure and flow, through sensors deployed on the heating network; sending the collected data to the central analysis module for processing, and the module generates a switching decision according to the preset switching logic (such as temperature threshold, etc.); according to the switching decision generated by the central analysis module, the dynamic control module adjusts the valve state to change the distribution of the fluid between different pipelines, such as transferring the fluid from the DN500 main pipeline to the DN400 secondary pipeline; through the feedback control mechanism, the actual operating status after the switch is monitored and compared with the expected decision, and fine-tuning is performed when necessary to ensure that the system operating status meets the requirements.

[0075] The technical effects of the above embodiments are as follows: through real-time monitoring and intelligent control of the heating pipeline network, the system can effectively reduce heat loss and improve energy utilization efficiency; intelligent control helps to reduce unnecessary energy consumption, thereby reducing operating costs; closed-loop feedback control ensures stable operation of the system and maintains a good operating state even when external conditions change; automated control reduces the need for manual intervention and reduces the difficulty and frequency of maintenance; and through precise control of pipeline flow and temperature, the quality of heating and user satisfaction are improved.

[0076] In order to further optimize the above embodiment, the valve component includes a switching valve and a solenoid valve;

[0077] The switching valve is used to switch the fluid between the DN500 main pipeline and the DN400 auxiliary pipeline;

[0078] The solenoid valve controls its own opening by receiving instructions and is used to adjust the flow of the DN500 main pipeline or DN400 auxiliary pipeline.

[0079] It should be noted that the switching valve is mainly used to switch the fluid between pipes of different sizes, that is, switching from a DN500 main pipe to a DN400 secondary pipe or vice versa. When the system detects that the flow of the main pipe needs to be reduced to reduce heat loss, the switching valve will close the main pipe and open the secondary pipe, thereby guiding the fluid to be transported through the pipe with a smaller diameter. On the contrary, when the flow needs to be increased, the opposite operation is performed. The use of the switching valve can flexibly adjust the pipeline configuration to adapt to different heat requirements, thereby effectively reducing heat loss.

[0080] The solenoid valve adjusts its own opening by receiving instructions from the control system, thereby controlling the fluid flow in the DN500 main pipeline or DN400 secondary pipeline; there is a movable magnetic core inside the solenoid valve. When a control signal is received, the magnetic core will be driven by electromagnetic force to change the valve opening, thereby adjusting the flow in the pipeline; by finely controlling the opening of the solenoid valve, precise regulation of the flow can be achieved, thereby ensuring the optimal operating state of the heating network under various working conditions.

[0081] In order to further optimize the above embodiment, the data acquisition module includes:

[0082] A temperature acquisition unit, which is connected to a local weather station to acquire ambient temperature data;

[0083] A usage statistics unit, which is connected to the user side and is used to count the user side usage data corresponding to each historical ambient temperature data;

[0084] A pressure difference acquisition unit is provided at both ends of the DN500 main pipeline and the DN400 auxiliary pipeline, and is used to acquire first pressure difference data at both ends of the DN500 main pipeline and second pressure difference data at both ends of the DN400 auxiliary pipeline;

[0085] A density acquisition unit, which is used to acquire density data of the fluid;

[0086] The opening acquisition unit is connected to the solenoid valve and is used to acquire the current valve opening data of the solenoid valve in real time.

[0087] It should be noted that by collecting ambient temperature data and user-side usage data, a more accurate usage prediction model can be built, thereby improving the prediction accuracy; the real-time pressure difference data and valve opening data enable the system to respond instantly to changes in the pipeline and achieve more precise flow control; by obtaining fluid density data, the system can more accurately calculate the instantaneous flow rate, thereby optimizing the flow distribution strategy; by comprehensively considering the ambient temperature, user-side demand and the actual situation in the pipeline, the system can better adapt to changing operating conditions.

[0088] In order to further optimize the above embodiment, the central analysis module includes:

[0089] An environmental analysis unit is connected to the temperature acquisition unit and the usage statistics unit; a usage prediction model is pre-set, and historical environmental temperature data and corresponding historical usage data are substituted into the model for training; current environmental temperature data is substituted into the trained usage prediction model to generate a user-side usage prediction value;

[0090] The flow calculation unit is connected to the pressure difference acquisition unit and the density acquisition unit, and the acquired data is substituted into the formula middle;

[0091] Among them, Q is the instantaneous flow rate of the DN500 main pipeline, in m3 / h; K is the flow coefficient, obtained based on experiments; d1 is the diameter of the DN500 main pipeline, that is, d1=500mm; ΔP1 is the first pressure difference data; ρ is the density data;

[0092] Substitute the collected data of the DN500 main pipeline into the formula to obtain the instantaneous flow Q of the current DN500 main pipeline;

[0093] The switching decision generating unit is connected with the environment analyzing unit and the flow calculating unit, and calculates the ideal instantaneous flow Q0 according to the user-side usage prediction value; when the actual instantaneous flow Q is less than the ideal instantaneous flow Q0, a switching instruction is generated; and the switching instruction and the ideal instantaneous flow Q0 are integrated as a switching decision.

[0094] It should be noted that for the formula For example, the following are some examples:

[0095] Assume that the pressure difference data of the DN500 main pipeline collected is ΔP1=100kPa, the inner diameter of the pipeline is d1=500mm, and the fluid density is ρ=950kg / m 3 , the flow coefficient K obtained through the experiment is 0.98; then the instantaneous flow of the DN500 main pipeline is:

[0096]

[0097] The usage prediction model is:

[0098]

[0099] Among them, Y is the user-side usage prediction value, X is the current ambient temperature data, T i is the historical ambient temperature data, U i For historical user-side usage data, is the average value of historical ambient temperature data, It is the average value of historical user-side usage data; is the slope, representing the change in usage for each degree of temperature change; is the intercept;

[0100] The calculation process of the usage prediction model is as follows:

[0101] Assume that the historical ambient temperature data T i Including {10, 15, 20, 25, 30}℃;

[0102] Historical user-side usage data U i Corresponding to {100, 120, 140, 160, 180} kW;

[0103] After calculation,

[0104] After calculation, the slope

[0105] intercept

[0106] Assume that the current ambient temperature X = 22°C;

[0107] Then the corresponding user-side consumption prediction value is Y=6*22+20=152kw;

[0108] The ideal instantaneous flow Q0 is calculated based on the user-side usage forecast value, including:

[0109] Substitute the user-side usage prediction value Y into the ideal traffic calculation model. The ideal traffic calculation model is:

[0110] Y=(c p *ρ*ΔT)*Q0

[0111] Among them, c p is the specific heat capacity of the fluid, ρ is the density data, and ΔT is the pre-set heat demand of the user side; (c p *ρ*ΔT) is a constant representing the heat per unit volume flow;

[0112] Substitute the user-side usage prediction value Y into the ideal flow calculation model to obtain the ideal instantaneous flow Q0;

[0113] There is usually a positive relationship between user-side usage and instantaneous flow. That is, when user-side usage increases, in order to meet higher heat demand, the heating pipe needs to provide a larger instantaneous flow; one of the operating goals of the heating system is to ensure that supply matches demand. This means that when user-side usage increases, the system will increase the instantaneous flow accordingly to meet user demand, and vice versa.

[0114] In order to further optimize the above embodiment, the dynamic control module includes:

[0115] An instruction receiving unit, connected to the switching decision generating unit, for receiving the switching decision and identifying the switching instruction carried by the switching decision;

[0116] The valve switching unit is connected to the instruction receiving unit and the switching valve, and is used to drive the switching valve to work when the instruction receiving unit recognizes the switching instruction, so as to switch the fluid from the DN500 main pipeline to the DN400 secondary pipeline through the bypass pipeline.

[0117] It should be noted that the instruction receiving unit, as an intermediate layer, ensures that the instructions received from the switching decision generating unit are correctly parsed and passed to the valve switching unit. It can identify key information in the instructions (such as switching action, switching time, etc.) to facilitate subsequent execution; after receiving the instructions, the valve switching unit can quickly respond and execute the valve action to ensure that the fluid flows along the predetermined path. This helps to achieve rapid redistribution of flow and improve the flexibility and response speed of the system.

[0118] In order to further optimize the above embodiment, the feedback control module includes:

[0119] The flow feedback unit is connected to the pressure difference acquisition unit and the density acquisition unit, and the acquired data is substituted into the formula

[0120] Among them, Q a is the instantaneous flow rate of the DN400 auxiliary pipeline, in m3 / h; K is the flow coefficient, obtained based on experiments; d2 is the diameter of the DN400 auxiliary pipeline, that is, d2 = 400mm; ΔP2 is the second pressure difference data; ρ is the density data;

[0121] Substitute the collected data of the DN400 auxiliary pipeline into the formula to obtain the instantaneous flow rate Q of the current DN400 auxiliary pipeline. a ;

[0122] The feedback determination unit is connected to the flow feedback unit and the instruction receiving unit to identify the ideal instantaneous flow Q0 carried in the switching decision and calculate the instantaneous flow Q of the current DN400 secondary pipeline. a The instantaneous flow rate difference ΔQ from the ideal instantaneous flow rate Q0;

[0123] Where ΔQ = Q0-Q a ;

[0124] The adaptive control unit is connected with the feedback determination unit and the solenoid valve, substitutes the instantaneous flow difference ΔQ into the PID controller, and adjusts the valve opening of the solenoid valve through the PID controller to achieve the ideal instantaneous flow Q0.

[0125] It should be noted that due to the change in pipe diameter, there will be a deviation between the actual flow rate / pressure and the ideal flow rate / pressure. The instantaneous flow difference ΔQ is calculated by the formula;

[0126] Substituting the instantaneous flow difference ΔQ into the PID controller, the process of adjusting the valve opening of the solenoid valve through the PID controller includes:

[0127] Substitute the instantaneous flow difference ΔQ as the error signal into the PID algorithm;

[0128] The PID algorithm is:

[0129]

[0130] Among them, K P , K i , K d are proportional, integral and differential gains respectively; e(t) is the error signal, i.e. the instantaneous flow difference ΔQ; u(t) is the output of the PID controller;

[0131] Adjust the valve opening of the solenoid valve according to the output u(t) of the PID controller;

[0132] For the control algorithm of the PID controller, an example is as follows:

[0133] Assume ideal instantaneous flow rate Q0 = 200m 3 / h, and the instantaneous flow rate of the current DN400 auxiliary pipeline is Q a =180m 3 / h, then the instantaneous flow difference ΔQ, that is, the error signal e(t) = 20m 3 / h; the error signal e(t) = 20m 3 / h is substituted into the algorithm, and finally the output u(t) of the PID controller is obtained.

[0134] Embodiment 2:

[0135] The embodiment of the present invention provides a heat network pipe loss operation control system, which also includes a fault warning module, which is connected to the opening acquisition unit and is used to summarize the valve opening data of the solenoid valve within a historical preset time limit, substitute it into the fault diagnosis model, and obtain a deviation score;

[0136] The fault diagnosis model is:

[0137]

[0138] Wherein, D(t) is the deviation score, x(t) is the current valve opening data, μ is the average value of the valve opening data of the solenoid valve within the historical preset time limit, and σ is the standard deviation of the valve opening data of the solenoid valve within the historical preset time limit;

[0139] The alarm threshold E is set in advance, and when D(t)>E, the alarm is triggered.

[0140] It should be noted that, for the fault diagnosis model and the triggering alarm, the following are examples:

[0141] During the historical operation, the average opening of the solenoid valve in the previous week was 80%, with a standard deviation of 5%. When the opening of the solenoid valve suddenly dropped to 60%, the deviation score D(t) was:

[0142]

[0143] The alarm threshold E=3 is preset, then D(t)>E, triggering the alarm signal;

[0144] The fault warning module can identify potential valve failures and ensure the safe operation of the heating network.

[0145] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A heat network pipe loss operation control system, mounted on a heat supply network, wherein the heat supply network comprises a DN500 main pipeline, a DN400 secondary pipeline, a bypass pipeline and a valve component; characterized in that: include: A data acquisition module, which is arranged at the heating pipe network and is used to monitor key operating parameters of the heating pipe network in real time; A central analysis module connected to the data acquisition module, configured to receive key operating parameters and generate a switching decision based on the key operating parameters and a preset switching logic; A dynamic control module connected to the central analysis module and the valve component, configured to receive and execute the switching decision, and correspondingly control the action of the valve component to transfer the fluid from the DN500 main pipeline through the bypass pipeline to the DN400 secondary pipeline; A feedback control module is connected to the data acquisition module, the dynamic control module and the valve component, and is used to monitor the operating status of the DN400 secondary pipeline after the switching decision is executed, and compare it with the switching decision; and adjust the action of the valve component according to the comparison result so that the operating status of the DN400 secondary pipeline satisfies the switching decision.

2. A heat network pipe loss operation control system according to claim 1, characterized in that: The valve component includes a switching valve and a solenoid valve; The switching valve is used to switch the fluid between the DN500 main pipeline and the DN400 secondary pipeline; The solenoid valve controls its own opening by receiving instructions, and is used to adjust the flow of the DN500 main pipeline or the DN400 auxiliary pipeline.

3. A heat network pipe loss operation control system according to claim 2, characterized in that: The data acquisition module comprises: A temperature acquisition unit, which is connected to a local weather station to acquire ambient temperature data; A usage statistics unit, which is connected to the user side and is used to count the user side usage data corresponding to each historical ambient temperature data; A pressure difference acquisition unit, which is arranged at both ends of the DN500 main pipeline and the DN400 auxiliary pipeline, and is used to acquire first pressure difference data at both ends of the DN500 main pipeline and second pressure difference data at both ends of the DN400 auxiliary pipeline; A density acquisition unit, which is used to acquire density data of the fluid; An opening acquisition unit is connected to the solenoid valve and is used to acquire the current valve opening data of the solenoid valve in real time.

4. A heat network pipe loss operation control system according to claim 3, characterized in that: The central analysis module comprises: An environmental analysis unit connected to the temperature acquisition unit and the usage statistics unit; presetting a usage prediction model, substituting historical environmental temperature data and corresponding historical usage data into the model for training; substituting current environmental temperature data into the trained usage prediction model to generate a user-side usage prediction value; The flow calculation unit is connected to the pressure difference acquisition unit and the density acquisition unit, and substitutes the acquired data into the formula middle; Wherein, Q is the instantaneous flow rate of the DN500 main pipeline, in m 3 / h; K is the flow coefficient, obtained based on experiments; d1 is the diameter of the DN500 main pipe, that is, d1 = 500 mm; ΔP1 is the first pressure difference data; ρ is the density data; Substitute the collected data of the DN500 main pipeline into the formula to obtain the instantaneous flow rate Q of the current DN500 main pipeline; A switching decision generating unit is connected to the environment analyzing unit and the flow calculating unit, and calculates the ideal instantaneous flow Q0 according to the user-side usage prediction value; generates a switching instruction when the actual instantaneous flow Q is less than the ideal instantaneous flow Q0; and integrates the switching instruction and the ideal instantaneous flow Q0 as the switching decision.

5. A heat network pipe loss operation control system according to claim 4, characterized in that: The dosage prediction model is: Among them, Y is the user-side usage prediction value, X is the current ambient temperature data, T i is the historical ambient temperature data, U i For historical user-side usage data, is the average value of historical ambient temperature data, It is the average value of historical user-side usage data; is the slope, representing the change in usage for each degree of temperature change; is the intercept.

6. A heat network pipe loss operation control system according to claim 5, characterized in that: The calculation of the ideal instantaneous flow rate Q0 according to the user-side usage prediction value specifically includes: Substitute the user-side usage prediction value Y into the ideal flow calculation model, which is: Y=(c p *ρ*ΔT)*Q0 Among them, c p is the specific heat capacity of the fluid, ρ is the density data, and ΔT is the pre-set heat demand of the user side; (c p *ρ*ΔT) is a constant representing the heat per unit volume flow; Substitute the user-side usage prediction value Y into the ideal flow calculation model to obtain the ideal instantaneous flow Q0.

7. A heat network pipe loss operation control system according to claim 6, characterized in that: The dynamic control module comprises: an instruction receiving unit, connected to the switching decision generating unit, and configured to receive the switching decision and identify the switching instruction carried therein; The valve switching unit is connected to the instruction receiving unit and the switching valve, and is used to drive the switching valve to work when the instruction receiving unit recognizes the switching instruction, so as to switch the fluid from the DN500 main pipeline to the DN400 secondary pipeline through the bypass pipeline.

8. A heat network pipe loss operation control system according to claim 7, characterized in that: The feedback control module comprises: The flow feedback unit is connected to the pressure difference acquisition unit and the density acquisition unit, and substitutes the acquired data into the formula middle; Among them, Q a is the instantaneous flow rate of the DN400 auxiliary pipeline, in m 3 / h; K is the flow coefficient, obtained based on experiments; d2 is the diameter of the DN400 secondary pipe, that is, d2 = 400mm; ΔP2 is the second pressure difference data; ρ is the density data; Substitute the collected data of the DN400 auxiliary pipeline into the formula to obtain the instantaneous flow rate Q of the current DN400 auxiliary pipeline. a ; A feedback determination unit is connected to the flow feedback unit and the instruction receiving unit, and is used to identify the ideal instantaneous flow Q0 carried in the switching decision, and calculate the instantaneous flow Q of the current DN400 secondary pipeline. a The instantaneous flow rate difference ΔQ from the ideal instantaneous flow rate Q0; Where ΔQ = Q0-Q a ; An adaptive control unit is connected to the feedback determination unit and the electromagnetic valve, substitutes the instantaneous flow difference ΔQ into a PID controller, and adjusts the valve opening of the electromagnetic valve through the PID controller to achieve an ideal instantaneous flow Q0.

9. A heat network pipe loss operation control system according to claim 8, characterized in that: The process of substituting the instantaneous flow difference ΔQ into the PID controller and adjusting the valve opening of the solenoid valve by the PID controller includes: Substitute the instantaneous flow difference ΔQ as the error signal into the PID algorithm; The PID algorithm is: Among them, K P , K i , K d are proportional, integral and differential gains respectively; e(t) is the error signal, i.e. the instantaneous flow difference ΔQ; u(t) is the output of the PID controller; The valve opening of the solenoid valve is adjusted according to the output u(t) of the PID controller.

10. A heat network pipe loss operation control system according to claim 9, characterized in that: It also includes a fault warning module, which is connected to the opening acquisition unit and is used to summarize the valve opening data of the solenoid valve within a historical preset time limit, substitute it into the fault diagnosis model, and obtain a deviation score; The fault diagnosis model is: Wherein, D(t) is the deviation score, x(t) is the current valve opening data, μ is the average value of the valve opening data of the solenoid valve within the historical preset time limit, and σ is the standard deviation of the valve opening data of the solenoid valve within the historical preset time limit; The alarm threshold E is set in advance, and when D(t)>E, the alarm is triggered.

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