Green building energy-saving and consumption-reducing monitoring management and control system based on sponge city construction

Abstract

The invention relates to the technical field of building energy management and control, in particular to a green building energy-saving consumption-reducing monitoring management and control system based on sponge city construction, which comprises a service management platform, an information calling unit, a running state evaluation unit, a running state expression unit, a management demand unit, a degradation risk unit and a management and control response unit. According to the method, analysis is carried out from the two aspects of the operation current and the operation performance of the target building ventilation equipment, the effect of efficient ventilation is achieved through a small amount of electric energy, ventilation management and control demand evaluation analysis is carried out in an information feedback and information fusion mode, the working efficiency of the ventilation equipment is improved, and the low-loss effect is achieved; and analyzing from the aspect of the performance of the ventilation equipment to understand the performance degradation risk level condition of the ventilation equipment, so as to reasonably perform degradation management to reduce the risk of loss increase caused by the performance degradation of the ventilation equipment, thereby effectively reducing the operation energy consumption of the ventilation equipment and achieving the effects of energy conservation and environmental protection.

Description

Technical Field

[0001] The present invention relates to the technical field of building energy management and control, and in particular to a green building energy-saving and consumption-reduction monitoring and control system based on sponge city construction. Background Art

[0002] The operating energy consumption of buildings is the energy used by people in their daily lives, such as heating, air conditioning, lighting, cooking, laundry, etc. It is the dominant part of building energy consumption. With the growth of economic income and the improvement of quality of life, the focus of building consumption will shift from "hardware" consumption to "software" consumption. Therefore, the energy consumption required to ensure indoor air quality (air conditioning, ventilation, heating, hot water supply) will rise rapidly.

[0003] However, when managing and controlling ventilation equipment in buildings, traditional management and control systems cannot achieve efficient operation of ventilation equipment in buildings through comprehensive analysis, resulting in energy waste and low ventilation efficiency. It is also difficult to reasonably analyze the performance of ventilation equipment and accurately evaluate the operation efficiency of ventilation equipment. It is also impossible to accurately classify the performance degradation of ventilation equipment in buildings, thereby reducing the management effect of ventilation equipment and being detrimental to the consumption reduction management of ventilation equipment.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a green building energy-saving and consumption-reduction monitoring and control system based on sponge city construction to solve the above-mentioned technical defects. The present invention analyzes the operating current and operating performance of the ventilation equipment of the target building to ensure the operating stability of the ventilation equipment and reduce the operating energy consumption of the ventilation equipment, so as to achieve efficient ventilation with a small amount of electricity. Through information feedback and information fusion, ventilation control demand evaluation and analysis are carried out to improve the working efficiency of the ventilation equipment and achieve low loss effects. The performance of the ventilation equipment is analyzed to understand the performance degradation risk level of the ventilation equipment, so as to reasonably carry out degradation management, reduce the risk of increased losses due to performance degradation of the ventilation equipment, and then effectively reduce the operating energy consumption of the ventilation equipment, thereby playing a role in energy saving and environmental protection.

[0006] The purpose of the present invention can be achieved through the following technical solutions: a green building energy conservation and consumption reduction monitoring and control system based on sponge city construction, including a service management platform, an information retrieval unit, an operation state evaluation unit, an operation state performance unit, a management demand unit, a degradation risk unit and a control response unit;

[0007] The information retrieval unit is used to collect the operation status data and operation performance data of the ventilation equipment, and send the operation status data and the operation performance data to the operation status evaluation unit and the operation status performance unit respectively. After receiving the operation status data, the operation status evaluation unit immediately performs operation status stability supervision evaluation and analysis on the operation status data, and sends the obtained stability signal and dynamic signal to the control response unit;

[0008] After receiving the operation performance data, the operation performance unit immediately performs operation efficiency performance supervision analysis on the operation performance data to obtain the ventilation operation efficiency evaluation coefficient L, and performs comparison analysis on the ventilation operation efficiency evaluation coefficient L to obtain a deviation signal;

[0009] The management demand unit is used to perform ventilation control demand assessment and analysis, obtain the ventilation control demand coefficient Q, and compare and analyze the ventilation control demand coefficient Q, and send the obtained pipe adjustment signal to the control response unit;

[0010] The degradation risk unit is used to perform performance degradation loss risk supervision analysis, and to divide and analyze the performance degradation assessment probability TH, and to send the obtained performance degradation level TJ to the management and control response unit.

[0011] Preferably, the operation state stability supervision assessment and analysis process of the operation state assessment unit is as follows:

[0012] S1: Collect the working period of the ventilation equipment and set it as the time threshold, divide the time threshold into k sub-time periods, k is a natural number greater than zero, and obtain the operating status data of the ventilation equipment of the target building in each sub-time period, the operating status data represents the current steady-state coefficient, and the current steady-state coefficient represents the difference between the maximum operating current and the minimum operating current of the ventilation equipment of the target building in the sub-time period;

[0013] S2: Compare and analyze the current steady-state coefficient with the stored preset current steady-state coefficient threshold, set the sub-time period corresponding to the current steady-state coefficient greater than the preset current steady-state coefficient threshold as the dynamic time period, and set the sub-time period corresponding to the current steady-state coefficient less than or equal to the preset current steady-state coefficient threshold as the steady-state time period, and then obtain the total duration corresponding to the dynamic time period and the total duration corresponding to the steady-state time period, and set the total duration corresponding to the dynamic time period and the total duration corresponding to the steady-state time period as the dynamic operation duration and the steady-state operation duration respectively, and set the ratio between the dynamic operation duration and the steady-state operation duration as the operation control risk assessment coefficient;

[0014] S3: Compare and analyze the operation control risk assessment coefficient with the preset operation control risk assessment coefficient threshold value stored internally:

[0015] If the ratio between the operation control risk assessment coefficient and the preset operation control risk assessment coefficient threshold is less than 1, a stable signal is generated;

[0016] If the ratio between the operation control risk assessment coefficient and the preset operation control risk assessment coefficient threshold is greater than or equal to 1, a dynamic signal is generated.

[0017] Preferably, the operation efficiency performance supervision and analysis process of the operation performance unit is as follows:

[0018] The operation performance data of the ventilation equipment of the target building in each sub-time period is obtained, the operation performance data represents the operation efficiency evaluation coefficient, the operation efficiency evaluation coefficient represents the ratio between the total ventilation volume of the ventilation equipment in the sub-time period and the electric energy consumed, and the operation efficiency evaluation coefficient is compared and analyzed with the stored preset operation efficiency evaluation coefficient threshold, and the sub-time period corresponding to the operation efficiency evaluation coefficient greater than or equal to the preset operation efficiency evaluation coefficient threshold is set as a high-efficiency time period, and the sub-time period corresponding to the operation efficiency evaluation coefficient less than the preset operation efficiency evaluation coefficient threshold is set as an inefficient time period, and the number corresponding to the inefficient time period and the number corresponding to the efficient time period are set as the high-efficiency ventilation value GT and the inefficient ventilation value DT respectively;

[0019] Substitute the high-efficiency ventilation value GT and the low-efficiency ventilation value DT into the formula to obtain the ventilation efficiency evaluation coefficient L, and compare and analyze the ventilation efficiency evaluation coefficient L with the preset ventilation efficiency evaluation coefficient threshold value stored in the internal input:

[0020] If the ratio between the ventilation efficiency evaluation coefficient L and the preset ventilation efficiency evaluation coefficient threshold is less than 1, no signal is generated;

[0021] If the ratio between the ventilation efficiency evaluation coefficient L and the preset ventilation efficiency evaluation coefficient threshold is greater than or equal to 1, a deviation signal is generated.

[0022] Preferably, the ventilation control demand assessment and analysis process of the management demand unit is as follows:

[0023] The ventilation efficiency evaluation coefficient L of the ventilation equipment within the time threshold is obtained, and the operation and control risk evaluation coefficient of the ventilation equipment within the time threshold is obtained, and the operation and control risk evaluation coefficient is labeled as YK. The ventilation efficiency evaluation coefficient L and the operation and control risk evaluation coefficient YK are substituted into the formula to obtain the ventilation control demand coefficient Q;

[0024] Compare and analyze the ventilation control demand coefficient Q with the preset ventilation control demand coefficient threshold value stored in the internal data entry:

[0025] If the ratio between the ventilation control demand coefficient Q and the preset ventilation control demand coefficient threshold is less than 1, no signal is generated;

[0026] If the ratio between the ventilation control demand coefficient Q and the preset ventilation control demand coefficient threshold is greater than or equal to 1, a control signal is generated.

[0027] Preferably, the performance degradation loss risk supervision analysis process of the degradation risk unit is as follows:

[0028] T1: Obtain the total number of historical operating time periods of the ventilation equipment, and then obtain the proportion of the number of historical operating time periods in which the ventilation control demand coefficient Q is greater than or equal to the preset ventilation control demand coefficient threshold, and set the proportion of the number of historical operating time periods in which the ventilation control demand coefficient Q is greater than or equal to the preset ventilation control demand coefficient threshold as the demand control frequency XK;

[0029] T2: Obtain the information management data of the ventilation equipment, which includes the total number of failures, usage value, component information, and load duration, and calculate and process the information management data to obtain the performance impact assessment coefficient H;

[0030] Substitute the demand control frequency XK and the performance impact assessment coefficient H into the formula The performance degradation assessment probability is obtained, where α is the preset error factor coefficient, α is greater than zero, and TH is the performance degradation assessment probability. The performance degradation assessment probability TH is compared and analyzed with the preset performance degradation assessment probability range stored in the internal data entry:

[0031] If the performance degradation evaluation probability TH is greater than the maximum value in the preset performance degradation evaluation probability range, the ventilation equipment is determined to be first-level degradation;

[0032] If the performance degradation assessment probability TH falls within the preset performance degradation assessment probability range, the ventilation equipment is judged to be level 2 degradation;

[0033] If the performance degradation evaluation probability TH is less than the minimum value in the preset performance degradation evaluation probability range, the ventilation equipment is determined to be level 3 degradation, and level 1 degradation, level 2 degradation and level 3 degradation are set as performance degradation levels TJ, TJ=1, 2, 3.

[0034] Preferably, the performance impact assessment coefficient H analysis process is as follows:

[0035] The usage value indicates the duration from the time the ventilation equipment is put into use to the current time. The component information indicates the proportion of the number of parts used more than once in the total number of replaced parts. The load duration indicates the duration during which the operating speed of the ventilation equipment exceeds the set operating speed. The total number of failures GZ, usage value SZ, component information and load duration are labeled GZ, SZ, LX and FC respectively. The total number of failures GZ, usage value SZ, component information LX and load duration FC are substituted into the formula to obtain the performance impact assessment coefficient.

[0036] The beneficial effects of the present invention are as follows:

[0037] (1) The present invention analyzes the operating current and operating performance of the ventilation equipment of the target building to ensure the operating stability of the ventilation equipment and reduce the operating energy consumption of the ventilation equipment, that is, to conduct a monitoring and evaluation analysis of the operating state data so as to reasonably manage the energy supply of the ventilation equipment of the target building according to the text feedback so as to reduce the loss risk of the ventilation equipment, and to conduct a monitoring and analysis of the operating efficiency performance of the operating performance data so as to understand the operating ventilation efficiency of the ventilation equipment, thereby achieving the effect of high-efficiency ventilation with a small amount of electric energy;

[0038] (2) The present invention conducts ventilation control demand assessment and analysis through information feedback and information fusion to further understand the overall ventilation performance of the ventilation equipment, so as to implement reasonable and targeted management to improve the working efficiency of the ventilation equipment and achieve low loss effects. It also conducts analysis from the performance perspective of the ventilation equipment to understand the performance degradation risk level of the ventilation equipment, so as to reasonably implement degradation management to reduce the risk of increased losses due to performance degradation of the ventilation equipment, thereby effectively reducing the operating energy consumption of the ventilation equipment and playing a role in energy conservation and environmental protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings;

[0040] Figure 1 It is a flowchart of the system of the present invention;

[0041] Figure 2 This is a local analysis diagram of Example 1 of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Embodiment 1:

[0044] See also Figure 1 to Figure 2As shown, the present invention is a green building energy conservation and consumption reduction monitoring and control system based on sponge city construction, including a service management platform, an information retrieval unit, an operation state assessment unit, an operation state performance unit, a management demand unit, a degradation risk unit and a control response unit. The service management platform is connected to the information retrieval unit in a one-way communication, the information retrieval unit is connected to the operation state assessment unit and the operation state performance unit in a one-way communication, the operation state performance unit is connected to the service management platform in a one-way communication, the operation state assessment unit is connected to the control response unit in a one-way communication, the service management platform is connected to the management demand unit in a one-way communication, the management demand unit is connected to the degradation risk unit and the control response unit in a one-way communication, and the degradation risk unit is connected to the control response unit in a one-way communication;

[0045] The present invention analyzes the operating current and operating performance of the ventilation equipment of the target building to ensure the operating stability of the ventilation equipment and reduce the operating energy consumption of the ventilation equipment;

[0046] In the embodiment of the present invention, when the service management platform monitors that any ventilation equipment in the target building is working and generates an operation management instruction, the operation management instruction is sent to the information retrieval unit. After receiving the operation management instruction, the information retrieval unit immediately collects the operation status data and operation performance data of the ventilation equipment, and sends the operation status data and the operation performance data to the operation state evaluation unit and the operation state performance unit respectively;

[0047] In the embodiment of the present invention, after receiving the operation status data, the operation status evaluation unit immediately performs operation status stability supervision evaluation analysis on the operation status data, so as to perform reasonable energy supply management on the ventilation equipment of the target building according to the text feedback to ensure the operation stability of the ventilation equipment. The specific operation status stability supervision evaluation analysis process is as follows:

[0048] The working period of the ventilation equipment is collected and set as a time threshold, the time threshold is divided into k sub-time periods, k is a natural number greater than zero, and the operating status data of the ventilation equipment of the target building in each sub-time period is obtained. The operating status data represents the current steady-state coefficient. It should be noted that the current steady-state coefficient represents the difference between the maximum operating current and the minimum operating current of the ventilation equipment of the target building in the sub-time period, that is, the analysis is performed from the perspective of current to understand the operating stability of the ventilation equipment of the target building;

[0049] Compare and analyze the current steady-state coefficient with the stored preset current steady-state coefficient threshold, set the sub-time period corresponding to the current steady-state coefficient greater than the preset current steady-state coefficient threshold as the dynamic period, and set the sub-time period corresponding to the current steady-state coefficient less than or equal to the preset current steady-state coefficient threshold as the steady-state period, and then obtain the total duration corresponding to the dynamic period and the total duration corresponding to the steady-state period, and set the total duration corresponding to the dynamic period and the total duration corresponding to the steady-state period as the dynamic operation duration and the steady-state operation duration, respectively, and set the ratio between the dynamic operation duration and the steady-state operation duration as the operation and control risk assessment coefficient. It should be noted that the larger the value of the operation and control risk assessment coefficient, the worse the operation stability of the ventilation equipment and the greater the risk of abnormal loss;

[0050] Compare and analyze the operation control risk assessment coefficient with the preset operation control risk assessment coefficient threshold value stored internally:

[0051] If the ratio between the operation control risk assessment coefficient and the preset operation control risk assessment coefficient threshold is less than 1, a stable signal is generated;

[0052] If the ratio between the operation and control risk assessment coefficient and the preset operation and control risk assessment coefficient threshold is greater than or equal to 1, a dynamic signal is generated, and the stable signal and the dynamic signal are sent to the control response unit. After receiving the stable signal and the dynamic signal, the control response unit immediately displays the preset warning texts corresponding to the stable signal and the dynamic signal, that is, the preset warning text corresponding to the stable signal is "stable current", and the preset warning text corresponding to the dynamic signal is "current fluctuation", so as to reasonably manage the energy supply of the ventilation equipment of the target building according to the text feedback to ensure the stability of the operation of the ventilation equipment;

[0053] After receiving the operation performance data, the operation performance unit immediately performs operation efficiency performance supervision and analysis on the operation performance data to understand the operation ventilation efficiency of the ventilation equipment, so as to achieve the effect of high-efficiency ventilation, that is, to achieve high-efficiency ventilation with a small amount of electric energy;

[0054] In the embodiment of the present invention, the specific operation efficiency performance supervision and analysis process is as follows:

[0055] The operation performance data of the ventilation equipment of the target building in each sub-time period is obtained, and the operation performance data represents the operation efficiency evaluation coefficient. The operation efficiency evaluation coefficient represents the ratio between the total ventilation volume of the ventilation equipment and the electric energy consumed in the sub-time period. When the value of the operation efficiency evaluation coefficient is large, it indicates that the ventilation equipment can produce more ventilation volume with less electric energy, and the energy-saving effect is better. The operation efficiency evaluation coefficient is compared and analyzed with the stored preset operation efficiency evaluation coefficient threshold, and the sub-time period corresponding to the operation efficiency evaluation coefficient greater than or equal to the preset operation efficiency evaluation coefficient threshold is set as a high-efficiency time period, and the sub-time period corresponding to the operation efficiency evaluation coefficient less than the preset operation efficiency evaluation coefficient threshold is set as an inefficient time period, and the number corresponding to the inefficient time period and the number corresponding to the efficient time period are set as the high-efficiency ventilation value GT and the inefficient ventilation value DT, respectively;

[0056] In the embodiment of the present invention, the high efficiency ventilation value GT and the low efficiency ventilation value DT are substituted into the formula The ventilation efficiency evaluation coefficient is obtained, where a1 and a2 are preset proportional factor coefficients of the high-efficiency ventilation value GT and the low-efficiency ventilation value DT respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. Both a1 and a2 are greater than zero. L is the ventilation efficiency evaluation coefficient. It should be noted that the larger the value of the ventilation efficiency evaluation coefficient is, the better the energy-saving performance of the ventilation equipment in the target building is. The ventilation efficiency evaluation coefficient L is sent to the management demand unit via the service management platform;

[0057] In the embodiment of the present invention, the ventilation efficiency evaluation coefficient L is compared and analyzed with the preset ventilation efficiency evaluation coefficient threshold value recorded and stored internally:

[0058] If the ratio between the ventilation efficiency evaluation coefficient L and the preset ventilation efficiency evaluation coefficient threshold is less than 1, no signal is generated;

[0059] If the ratio between the ventilation efficiency evaluation coefficient L and the preset ventilation efficiency evaluation coefficient threshold is greater than or equal to 1, a deviation signal is generated, and the deviation signal is sent to the management and control response unit via the service management platform. After receiving the deviation signal, the management and control response unit immediately displays the preset warning text corresponding to the deviation signal, that is, the preset warning text corresponding to the deviation signal is "ventilation management", so as to control the electric energy and ventilation of the ventilation equipment of the target building according to the text feedback, so as to reduce the operating energy consumption of the ventilation equipment and improve the ventilation effect of the ventilation equipment.

[0060] Embodiment 2:

[0061] Through information feedback and information fusion, we can analyze the overall ventilation performance of ventilation equipment to further understand the ventilation performance of ventilation equipment, so as to manage it rationally and in a targeted manner, and solve the problem of difficulty in rationally analyzing the performance of ventilation equipment and accurately evaluating the operation efficiency of ventilation equipment;

[0062] After receiving the ventilation efficiency evaluation coefficient L, the management demand unit immediately conducts ventilation control demand evaluation and analysis to further understand the ventilation performance of the ventilation equipment, so as to manage it reasonably and in a targeted manner, improve the working efficiency of the ventilation equipment and reduce losses. The specific ventilation control demand evaluation and analysis process is as follows:

[0063] Obtain the ventilation efficiency evaluation coefficient L of the ventilation equipment within the time threshold, and at the same time obtain the operation control risk evaluation coefficient of the ventilation equipment within the time threshold, and label the operation control risk evaluation coefficient as YK, and substitute the ventilation efficiency evaluation coefficient L and the operation control risk evaluation coefficient YK into the formula The ventilation control demand coefficient is obtained, wherein f1 and f2 are respectively the preset weight factor coefficients of the ventilation efficiency evaluation coefficient L and the operation control risk evaluation coefficient YK, f3 is the preset correction factor coefficient, f1, f2 and f3 are all greater than zero, Q is the ventilation control demand coefficient, and the ventilation control demand coefficient Q is sent to the degradation risk unit;

[0064] Compare and analyze the ventilation control demand coefficient Q with the preset ventilation control demand coefficient threshold value stored in the internal data entry:

[0065] If the ratio between the ventilation control demand coefficient Q and the preset ventilation control demand coefficient threshold is less than 1, no signal is generated;

[0066] If the ratio between the ventilation control demand coefficient Q and the preset ventilation control demand coefficient threshold is greater than or equal to 1, a pipe adjustment signal is generated and sent to the control response unit. After receiving the pipe adjustment signal, the control response unit immediately displays the preset warning text corresponding to the pipe adjustment signal, that is, the preset warning text corresponding to the pipe adjustment signal is "operation adjustment", so as to adjust the operation of the ventilation equipment of the target building as a whole according to the text feedback, so as to improve the working efficiency of the ventilation equipment and reduce the loss;

[0067] After receiving the ventilation control demand coefficient Q, the degradation risk unit immediately conducts performance degradation loss risk supervision analysis, that is, analyzes from the performance perspective of the ventilation equipment to understand the performance degradation risk of the ventilation equipment, so as to reasonably manage the degradation and reduce the risk of increased loss caused by the performance degradation of the ventilation equipment. The specific performance degradation loss risk supervision analysis process is as follows:

[0068] The total number of historical operating time periods of the ventilation equipment is obtained, and then the proportion of the number of historical operating time periods in which the ventilation control demand coefficient Q is greater than or equal to the preset ventilation control demand coefficient threshold is obtained, and the proportion of the number of historical operating time periods in which the ventilation control demand coefficient Q is greater than or equal to the preset ventilation control demand coefficient threshold is set as the demand control frequency XK. It should be noted that the larger the value of the demand control frequency XK, the greater the risk of abnormal ventilation performance of the ventilation equipment and the greater the energy consumption risk;

[0069] The information management data of the ventilation equipment is obtained, including the total number of failures, usage value, component information, and load duration. The information management data is calculated and processed to obtain the performance impact assessment coefficient H. The demand control frequency XK and the performance impact assessment coefficient H are substituted into the formula The performance degradation evaluation probability is obtained, wherein α is a preset error factor coefficient, α is greater than zero, and TH is the performance degradation evaluation probability;

[0070] In the embodiment of the present invention, the performance degradation evaluation probability TH is compared and analyzed with the preset performance degradation evaluation probability range recorded and stored internally:

[0071] If the performance degradation evaluation probability TH is greater than the maximum value in the preset performance degradation evaluation probability range, the ventilation equipment is determined to be first-level degradation;

[0072] If the performance degradation assessment probability TH falls within the preset performance degradation assessment probability range, the ventilation equipment is judged to be level 2 degradation;

[0073] If the performance degradation evaluation probability TH is less than the minimum value in the preset performance degradation evaluation probability range, the ventilation equipment is determined to be level three degradation, wherein the degradation degrees corresponding to the level one degradation, level two degradation and level three degradation are abnormally reduced, and the level one degradation, level two degradation and level three degradation are set as performance degradation levels TJ, TJ=1, 2, 3, that is, when the performance degradation level TJ=1, it indicates level one degradation, when the performance degradation level TJ=2, it indicates level two degradation, and when the performance degradation level TJ=3, it indicates level three degradation, and the performance degradation level TJ is sent to the control response unit. After receiving the performance degradation level TJ, the control response unit immediately displays the corresponding number of the performance degradation level TJ on the corresponding ventilation equipment, so as to carry out targeted management or replacement according to the performance degradation level of the ventilation equipment, effectively reduce the operating energy consumption of the ventilation equipment, and play a role in energy saving and environmental protection;

[0074] In the embodiment of the present invention, the usage value indicates the duration from the time when the ventilation equipment is put into use to the current time, the component information indicates the proportion of the number of parts used more than once in the total number of replaced parts, the load duration indicates the duration corresponding to the operating speed exceeding the set operating speed during the operation of the ventilation equipment, and the total number of faults, the usage value, the component information and the load duration are respectively labeled as GZ, SZ, LX and FC. It should be noted that the information management data is an influencing parameter reflecting the performance risk of the ventilation equipment;

[0075] Substitute the total number of failures GZ, usage value SZ, component information LX, and load duration FC into the formula Obtain a performance impact assessment coefficient, wherein v1 is a preset fault tolerance factor coefficient, v1 is greater than zero, and H is a performance impact assessment coefficient;

[0076] In summary, the present invention analyzes the operating current and operating performance of the ventilation equipment of the target building to ensure the operating stability of the ventilation equipment and reduce the operating energy consumption of the ventilation equipment, that is, to conduct operation stability supervision and evaluation analysis on the operating status data, so as to conduct reasonable energy supply management of the ventilation equipment of the target building according to the text feedback to reduce the loss risk of the ventilation equipment, and to conduct operation efficiency performance supervision and analysis on the operation performance data to understand the operating ventilation efficiency of the ventilation equipment, so as to achieve the effect of efficient ventilation with a small amount of electric energy, and to conduct ventilation control demand evaluation and analysis through information feedback and information fusion to further understand the overall ventilation performance of the ventilation equipment, so as to manage it reasonably and in a targeted manner, so as to improve the working efficiency of the ventilation equipment and achieve low loss effect, and to analyze from the performance perspective of the ventilation equipment to understand the performance degradation risk level of the ventilation equipment, so as to conduct reasonable degradation management to reduce the risk of increased loss due to performance degradation of the ventilation equipment, thereby effectively reducing the operating energy consumption of the ventilation equipment and playing a role in energy saving and environmental protection.

[0077] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0078] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A green building energy saving and consumption reduction monitoring and control system based on sponge city construction, characterized in that: It includes service management platform, information retrieval unit, operation status assessment unit, operation status performance unit, management demand unit, degradation risk unit and control response unit; The information retrieval unit is used to collect the operation status data and operation performance data of the ventilation equipment, and send the operation status data and the operation performance data to the operation status evaluation unit and the operation status performance unit respectively. After receiving the operation status data, the operation status evaluation unit immediately performs operation status stability supervision evaluation and analysis on the operation status data, and sends the obtained stability signal and dynamic signal to the control response unit; After receiving the operation performance data, the operation performance unit immediately performs operation efficiency performance supervision analysis on the operation performance data to obtain the ventilation operation efficiency evaluation coefficient L, and performs comparison analysis on the ventilation operation efficiency evaluation coefficient L to obtain a deviation signal; The management demand unit is used to perform ventilation control demand assessment and analysis, obtain the ventilation control demand coefficient Q, and compare and analyze the ventilation control demand coefficient Q, and send the obtained pipe adjustment signal to the control response unit; The degradation risk unit is used to perform performance degradation loss risk supervision analysis, and to divide and analyze the performance degradation assessment probability TH, and to send the obtained performance degradation level TJ to the management and control response unit.

2. According to the green building energy saving and consumption reduction monitoring and control system based on sponge city construction in claim 1, it is characterized in that: The operation state stability supervision assessment and analysis process of the operation state assessment unit is as follows: S1: Collect the working period of the ventilation equipment and set it as the time threshold, divide the time threshold into k sub-time periods, k is a natural number greater than zero, and obtain the operating status data of the ventilation equipment of the target building in each sub-time period, the operating status data represents the current steady-state coefficient, and the current steady-state coefficient represents the difference between the maximum operating current and the minimum operating current of the ventilation equipment of the target building in the sub-time period; S2: Compare and analyze the current steady-state coefficient with the stored preset current steady-state coefficient threshold, set the sub-time period corresponding to the current steady-state coefficient greater than the preset current steady-state coefficient threshold as the dynamic time period, and set the sub-time period corresponding to the current steady-state coefficient less than or equal to the preset current steady-state coefficient threshold as the steady-state time period, and then obtain the total duration corresponding to the dynamic time period and the total duration corresponding to the steady-state time period, and set the total duration corresponding to the dynamic time period and the total duration corresponding to the steady-state time period as the dynamic operation duration and the steady-state operation duration respectively, and set the ratio between the dynamic operation duration and the steady-state operation duration as the operation control risk assessment coefficient; S3: Compare and analyze the operation control risk assessment coefficient with the preset operation control risk assessment coefficient threshold value that is internally entered and stored to obtain a stable signal and a dynamic signal.

3. The green building energy saving and consumption reduction monitoring and control system based on sponge city construction according to claim 1 is characterized in that: The operation efficiency performance supervision and analysis process of the operation performance unit is as follows: The operation performance data of the ventilation equipment of the target building in each sub-time period is obtained, the operation performance data represents the operation efficiency evaluation coefficient, the operation efficiency evaluation coefficient represents the ratio between the total ventilation volume of the ventilation equipment in the sub-time period and the electric energy consumed, and the operation efficiency evaluation coefficient is compared and analyzed with the stored preset operation efficiency evaluation coefficient threshold, and the sub-time period corresponding to the operation efficiency evaluation coefficient greater than or equal to the preset operation efficiency evaluation coefficient threshold is set as a high-efficiency time period, and the sub-time period corresponding to the operation efficiency evaluation coefficient less than the preset operation efficiency evaluation coefficient threshold is set as an inefficient time period, and the number corresponding to the inefficient time period and the number corresponding to the efficient time period are set as the high-efficiency ventilation value GT and the inefficient ventilation value DT respectively; Substitute the high-efficiency ventilation value GT and the low-efficiency ventilation value DT into the formula to obtain the ventilation efficiency evaluation coefficient L, and compare and analyze the ventilation efficiency evaluation coefficient L with the preset ventilation efficiency evaluation coefficient threshold value entered and stored internally to obtain a deviation signal.

4. The green building energy saving and consumption reduction monitoring and control system based on sponge city construction according to claim 1 is characterized in that: The ventilation control demand assessment and analysis process of the management demand unit is as follows: The ventilation efficiency evaluation coefficient L of the ventilation equipment within the time threshold is obtained, and the operation and control risk evaluation coefficient of the ventilation equipment within the time threshold is obtained, and the operation and control risk evaluation coefficient is labeled as YK. The ventilation efficiency evaluation coefficient L and the operation and control risk evaluation coefficient YK are substituted into the formula to obtain the ventilation control demand coefficient Q; The ventilation control demand coefficient Q is compared and analyzed with the preset ventilation control demand coefficient threshold value recorded and stored internally to obtain the pipe adjustment signal.

5. The green building energy saving and consumption reduction monitoring and control system based on sponge city construction according to claim 1 is characterized in that: The performance degradation loss risk supervision analysis process of the degradation risk unit is as follows: T1: Obtain the total number of historical operating time periods of the ventilation equipment, and then obtain the proportion of the number of historical operating time periods in which the ventilation control demand coefficient Q is greater than or equal to the preset ventilation control demand coefficient threshold, and set the proportion of the number of historical operating time periods in which the ventilation control demand coefficient Q is greater than or equal to the preset ventilation control demand coefficient threshold as the demand control frequency XK; T2: Obtain the information management data of the ventilation equipment, which includes the total number of failures, usage value, component information, and load duration, and calculate and process the information management data to obtain the performance impact assessment coefficient H; Substitute the demand control frequency XK and the performance impact assessment coefficient H into the formula The performance degradation assessment probability is obtained, where α is the preset error factor coefficient, α is greater than zero, and TH is the performance degradation assessment probability. The performance degradation assessment probability TH is compared and analyzed with the preset performance degradation assessment probability range stored in the internal data entry: If the performance degradation evaluation probability TH is greater than the maximum value in the preset performance degradation evaluation probability range, the ventilation equipment is determined to be first-level degradation; If the performance degradation assessment probability TH falls within the preset performance degradation assessment probability range, the ventilation equipment is judged to be of secondary degradation; If the performance degradation evaluation probability TH is less than the minimum value in the preset performance degradation evaluation probability range, the ventilation equipment is determined to be level 3 degradation, and level 1 degradation, level 2 degradation and level 3 degradation are set as performance degradation levels TJ, TJ=1, 2, 3.

6. The green building energy saving and consumption reduction monitoring and control system based on sponge city construction according to claim 5 is characterized in that: The analysis process of the performance impact assessment coefficient H is as follows: The usage value indicates the duration from the time the ventilation equipment is put into use to the current time. The component information indicates the proportion of the number of parts used more than once in the total number of replaced parts. The load duration indicates the duration during which the operating speed of the ventilation equipment exceeds the set operating speed. The total number of failures GZ, usage value SZ, component information and load duration are labeled GZ, SZ, LX and FC respectively. The total number of failures GZ, usage value SZ, component information LX and load duration FC are substituted into the formula to obtain the performance impact assessment coefficient.

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