Steel structure building heat supply load regulation and control method based on target energy consumption management and control

Abstract

The invention discloses a steel structure building heat supply load regulation and control method based on target energy consumption management and control, and relates to the technical field of heat supply load regulation and control, and the method comprises the steps: obtaining the standard reduction time required for reducing the temperature of a target object from a target temperature to a benchmark temperature under each analog number; dividing the analog number into a plurality of personnel segments according to the condition that the difference value of the scale reduction duration does not exceed a preset numerical value X3, and marking the average value of the scale reduction duration corresponding to all the analog numbers of the personnel segments as scale reduction average time; and finally, obtaining a personnel section where the real-time pedestrian flow in the target object is located, and if the corresponding standard reduction average time is longer than T1 duration, stopping heat supply until the real-time temperature of the target object is reduced to the standard temperature, and then restarting heat supply. Therefore, heat supply can be stopped under the appropriate condition, heat supply can be restarted under the appropriate condition, heat supply can be adjusted within the reasonable range, and energy can be saved to the maximum extent; the method is simple, effective, easy and practical.

Description

Technical Field

[0001] The present invention belongs to the technical field of heating load regulation, and specifically is a method for regulating the heating load of a steel structure building based on target energy consumption control. Background Art

[0002] The patent with publication number CN114484557A discloses a method for controlling the heating load of a building complex based on target energy consumption control. It fully considers the time-varying and different nature of users' actual needs, meteorological factors and their cumulative effects, system inertia, and building thermal inertia. Starting from the most basic heat transfer equation, it uses historical data from the heat network to calibrate model parameters, and performs periodic calibration, dynamic correction, and load compensation. The operation and adjustment method proposed in the present invention, which is centered on target load control, has self-learning, self-adaptation, and self-optimization capabilities. It can effectively avoid oversupply on the heat source side of the energy center. Combined with the adjustment of different control units, it can achieve "heating on demand" with a sufficiently small time and space scale, meeting users' heat needs while significantly saving energy and reducing emissions.

[0003] However, for steel-structured buildings, which are generally stadiums, steel mills, high-speed rail stations, etc., these different scenarios, especially when there is a large concentration of people, will have a greater impact on the dissipation of internal heat, and the large number of people will also concentrate their heat. So how to adjust the power supply and heat load in this case and adjust the heating with minimum energy consumption is a difficult problem. Based on this, a solution is provided. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art;

[0005] To this end, the present invention proposes a method for regulating the heating load of a steel structure building based on target energy consumption control, comprising the following steps:

[0006] The simulation range is determined based on the segment flow values ​​representing the flow of people at the target object in each divided work segment. The minimum value of the simulation range is marked as the simulation number. Then, the set value X2 is increased in sequence until the simulation number reaches the maximum value of the simulation range. The simulation number is updated to obtain the drop time required for the temperature of the target object to drop from the target temperature to the benchmark temperature under each simulation number.

[0007] The simulation data is divided into several personnel segments according to the difference of the downgrade duration not exceeding the preset value X3, and the average downgrade duration corresponding to all simulation data of the personnel segment is marked as the downgrade average time;

[0008] Get the personnel segment of the real-time flow of people in the target object. If the corresponding average drop time is greater than T1, turn off the heating until the real-time temperature of the target object drops to the benchmark temperature and then restart the heating.

[0009] Furthermore, the working period is determined by dividing a day into 24 periods starting from midnight.

[0010] Furthermore, the segment flow value of the working segment is determined as follows:

[0011] Obtaining the flow of people in the same working section for several days will result in the deletion of any flow value exceeding the average of all flow values, and the flow value exceeding the average by no less than X1 will be deleted. The average of the remaining flow values ​​will be marked as the flow value of the corresponding working section.

[0012] Furthermore, the specific method of dividing personnel segments is as follows:

[0013] Arrange the simulation numbers in ascending order, select the corresponding downgrade duration of the simulation numbers in order, and assign all the downgrade durations whose difference from the first simulation number does not exceed X3 to the first personnel segment, where X3 is a preset value, and mark the average downgrade duration of all simulation numbers in the personnel segment as the downgrade average duration;

[0014] Then the next simulation number is selected in sequence to determine the next personnel segment, thereby determining all personnel segments.

[0015] Furthermore, the duration of T1 is a preset value.

[0016] Furthermore, T1 is determined as follows:

[0017] Select a personnel segment and ensure that the personnel in the target object are within this personnel segment;

[0018] Then, the basic energy value consumed by the target object to adjust to the target temperature and maintain it for T2 duration is obtained;

[0019] Then the target object is adjusted to the target temperature, the heating is stopped, the real-time temperature in the target object is lowered to the benchmark temperature, and then the heating is restarted. After the temperature is adjusted to the target temperature, the energy value consumed in this process is obtained and marked as the interrupted energy value;

[0020] The specific value of T1 is determined based on the relationship between the interrupt energy value and the basic energy value.

[0021] Furthermore, if the interruption energy value is equal to the basic energy value, the time taken for the temperature in the target object to decrease from the target temperature to the benchmark temperature after the heating is stopped is assigned to T1.

[0022] Furthermore, if the interrupted energy value is less than the basic energy value, the time taken for the temperature in the target object to decrease from the target temperature to the benchmark temperature after the heating is stopped is marked as the candidate time.

[0023] Furthermore, if the interrupted energy value is greater than the basic energy value, the next personnel segment is selected and the above steps are repeated until the specific value of T1 can be determined. If the value of T1 is still not determined after all personnel segments are processed, the minimum value among the selected durations is assigned to T1.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] The present invention obtains the drop time required for the target object's temperature to drop from the target temperature to the benchmark temperature under each simulation number; then divides the simulation number into several personnel segments based on the difference in the drop time not exceeding a preset value X3, and marks the average drop time corresponding to all simulation numbers in the personnel segment as the average drop time; finally, the personnel segment in which the real-time flow of people within the target object is located is obtained. If the corresponding average drop time is greater than the time T1, the heating is turned off until the real-time temperature of the target object drops to the benchmark temperature, and then the heating is restarted;

[0026] This enables the application to stop heating under appropriate circumstances and restart heating under appropriate circumstances, so that the application can adjust heating within a reasonable range and save energy to the greatest extent; the present invention is simple, effective and easy to use. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 Flowchart of the present invention. DETAILED DESCRIPTION

[0028] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all 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.

[0029] See also Figure 1 , this application provides a method for regulating the heating load of a steel structure building based on target energy consumption control;

[0030] As the first embodiment of the present application, it specifically includes the following steps:

[0031] Step 1: Obtain the steel structure building that needs to adjust the heating load, mark it as the target object, and then analyze the target object. The analysis method is as follows:

[0032] First, get the number of permanent staff in the target object. The method to get the number of permanent staff is:

[0033] First, the target object needs heating during the winter period. Alternatively, the outdoor temperature range can be used to indicate when heating is needed. For example, if the outdoor temperature is below 5 degrees Celsius, other temperature ranges are also possible.

[0034] Then, we divide the 24 hours of a day into 24 time periods starting from midnight. Of course, for convenience, we can remove the time period when the target object is closed. For the sake of complete description, we still divide it into 24 time periods and mark them as working periods.

[0035] Select any work section and obtain the passenger flow of this work section every day in the past n days, where n is a preset value and is marked as Ri, i = 1, ..., n, where Ri represents the passenger flow corresponding to the i-th day;

[0036] Then the mean value P of Ri is automatically obtained. If there is any content in Ri that satisfies Ri-P exceeding X1, where X1 is a preset value, the corresponding Ri is automatically deleted, and the mean value of the remaining Ri is recalculated. If there is still Ri with Ri-P>X1, it is deleted again until there is no Ri-P>X1; the mean value of the remaining Ri at this time is marked as the segment flow value of the corresponding working segment;

[0037] Perform the same process on the remaining working sections to obtain the segment flow values ​​of all working sections;

[0038] Step 2: Perform simulation analysis based on the segment flow value. The specific analysis method is as follows:

[0039] First, get the minimum and maximum values ​​in the segment flow value, mark them as the simulation range, and start from the minimum value of the simulation range and mark them as the simulation number;

[0040] In this simulation, the target object is adjusted to the preset target temperature by adjusting the heating load, and then the heating is stopped. The time required for the temperature to drop to the benchmark temperature is obtained and marked as the benchmark drop duration. The benchmark temperature is the value preset by the user.

[0041] Then, the analog number is increased by a preset value X2, the analog number is updated, and under the updated analog number, the heating load is readjusted to obtain the reduction time under the updated analog number;

[0042] Continue to update the analog number by increasing the preset value X2 until the value of the analog number is equal to the maximum value of the analog range, and obtain several analog numbers and their corresponding downscaling time;

[0043] Sort the corresponding downgrade durations according to the simulation numbers from small to large, mark the first simulation number as the basic number, and select the simulation numbers after the basic number in sequence. If the difference between the downgrade duration corresponding to the simulation number and the downgrade duration of the basic number does not exceed X3, where X3 is a preset value, the range from the basic number to the largest simulation number that meets the requirements will be marked as the first personnel segment. At this time, the average downgrade duration corresponding to all simulation numbers in the first personnel segment will be marked as the average downgrade duration;

[0044] Then, obtain the smallest remaining simulation number after removing the first personnel segment, re-mark it as the base number, and obtain the second personnel segment and its corresponding degraded average time in the same way as the first personnel segment. Continue this step to obtain all personnel segments and their corresponding degraded average time.

[0045] Step 3: Real-time temperature adjustment is performed on the target object. The heating of the target object is started according to the set start time, and the temperature is adjusted to the target temperature. Then, the real-time flow of people in the target object is monitored. When the average drop time corresponding to the personnel segment of the real-time flow of people in the target object is greater than the set time length T1, the heating is turned off at this time until the temperature drops to the benchmark temperature and then the heating is restarted;

[0046] As the second embodiment of the present application, this embodiment is implemented on the basis of the first embodiment. The difference is that the present application provides a method for determining the specific value of the T1 duration. The method in this embodiment is:

[0047] Select any personnel segment and set the real-time number of personnel in the target object to be within the corresponding personnel segment;

[0048] Obtain the energy value consumed when adjusting the target object to the target temperature and maintaining it for T2 time, and mark it as the basic energy value. The energy value here can be directly measured in money or energy consumption. T2 is a preset value.

[0049] Then, after adjusting the target object to the target temperature, the energy value consumed in the process of stopping heating until the real-time temperature in the target object drops to the benchmark temperature is obtained, and then the heating is restarted and the temperature is adjusted to the target temperature. It is marked as the interrupted energy value;

[0050] If the interruption energy value is equal to the basic energy value, the time it takes for the temperature in the target object to drop from the target temperature to the benchmark temperature after the heating is stopped is assigned to T1;

[0051] If the interruption energy value is less than the basic energy value, the time it takes for the temperature in the target object to drop from the target temperature to the benchmark temperature after the heating is stopped is marked as the candidate time;

[0052] If the interrupted energy value is greater than the basic energy value, the next personnel segment is selected and the above steps are repeated until the specific value of T1 can be determined. If the value of T1 is still not determined after all personnel segments are processed, the minimum value of the selected duration is assigned to T1.

[0053] Of course, as the third embodiment of the present application, this embodiment is used to integrate the first and second embodiments for implementation.

[0054] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for regulating the heating load of a steel structure building based on target energy consumption control, characterized in that: The steps include: The simulation range is determined based on the segment flow values ​​representing the flow of people at the target object in each divided work segment. The minimum value of the simulation range is marked as the simulation number. Then, the set value X2 is increased in sequence until the simulation number reaches the maximum value of the simulation range. The simulation number is updated to obtain the drop time required for the temperature of the target object to drop from the target temperature to the benchmark temperature under each simulation number. The simulation data is divided into several personnel segments according to the difference of the downgrade duration not exceeding the preset value X3, and the average downgrade duration corresponding to all simulation data of the personnel segment is marked as the downgrade average time; Get the personnel segment of the real-time flow of people in the target object. If the corresponding average drop time is greater than T1, turn off the heating until the real-time temperature of the target object drops to the benchmark temperature and then restart the heating.

2. The method for regulating the heating load of a steel structure building based on target energy consumption control according to claim 1, characterized in that: The working period is determined by dividing the day into 24 periods starting from midnight.

3. The method for regulating the heating load of a steel structure building based on target energy consumption control according to claim 1, characterized in that: The segment flow value of the working section is determined as follows: Obtaining the flow of people in the same working section for several days will result in the deletion of any flow value exceeding the average of all flow values, and the flow value exceeding the average by no less than X1 will be deleted. The average of the remaining flow values ​​will be marked as the flow value of the corresponding working section.

4. The method for regulating the heating load of a steel structure building based on target energy consumption control according to claim 1, characterized in that: The specific method of dividing personnel segments is as follows: Arrange the simulation numbers in ascending order, select the corresponding downgrade duration of the simulation numbers in order, and assign all the downgrade durations whose difference from the first simulation number does not exceed X3 to the first personnel segment, where X3 is a preset value, and mark the average downgrade duration of all simulation numbers in the personnel segment as the downgrade average duration; Then the next simulation number is selected in sequence to determine the next personnel segment, thereby determining all personnel segments.

5. The method for regulating heating load of a steel structure building based on target energy consumption control according to claim 1, characterized in that: The T1 duration is a preset value.

6. The method for regulating the heating load of a steel structure building based on target energy consumption control according to claim 1, characterized in that: T1 is determined as follows: Select a personnel segment and ensure that the personnel in the target object are within this personnel segment; Then, the basic energy value consumed by the target object to adjust to the target temperature and maintain it for T2 duration is obtained; Then the target object is adjusted to the target temperature, the heating is stopped, the real-time temperature in the target object is lowered to the benchmark temperature, and then the heating is restarted. After the temperature is adjusted to the target temperature, the energy value consumed in this process is obtained and marked as the interrupted energy value; The specific value of T1 is determined based on the relationship between the interrupt energy value and the basic energy value.

7. The method for regulating the heating load of a steel structure building based on target energy consumption control according to claim 6, characterized in that: If the interruption energy value is equal to the basic energy value, the time taken for the temperature in the target object to drop from the target temperature to the benchmark temperature after the heating is stopped is assigned to T1.

8. The method for regulating the heating load of a steel structure building based on target energy consumption control according to claim 6, characterized in that: If the interruption energy value is less than the basic energy value, the time taken for the temperature in the target object to drop from the target temperature to the benchmark temperature after the heating is stopped is marked as the candidate time.

9. The method for regulating heating load of a steel structure building based on target energy consumption control according to claim 8, characterized in that: If the interrupted energy value is greater than the basic energy value, the next personnel segment is selected and the above steps are repeated until the specific value of T1 can be determined. If the value of T1 is still not determined after all personnel segments are processed, the minimum value of the selected duration is assigned to T1.

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