Electrical equipment energy-saving control system based on industrial waste gas treatment

Abstract

The invention relates to the technical field of electrical equipment energy-saving control, and particularly discloses an electrical equipment energy-saving control system based on industrial waste gas treatment. Comprising a waste gas treatment parameter monitoring module, a waste gas treatment demand analysis module, an equipment energy-saving control analysis module, an equipment cooperative control analysis module, an energy-saving control strategy making module, a unit cluster control analysis module and a control terminal. The method comprises the following steps: extracting and calculating treatment parameters such as waste gas flow, concentration and temperature of each industrial waste gas treatment unit at different monitoring moments and parameters such as power factor and power margin of electrical equipment to obtain a flow concentration interaction influence coefficient, a waste gas temperature interaction adjustment coefficient, an equipment power interaction adjustment coefficient and the like; and finally, an energy-saving interaction adjustment coefficient is calculated, through comprehensive consideration of the interaction influence among multiple parameters in the waste gas treatment process, a quantitative basis is provided for accurate analysis of waste gas treatment requirements, energy-saving control over electrical equipment is facilitated, and the energy utilization efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving control of electrical equipment, and in particular to an energy-saving control system for electrical equipment based on industrial waste gas treatment. Background Art

[0002] Waste gas treatment is a crucial component of industrial production, and electrical equipment accounts for a significant portion of total industrial energy consumption. Currently, most industrial waste gas treatment systems lack sophisticated energy-saving control over the operation of electrical equipment. These devices typically operate in fixed modes, making it difficult to adjust operating parameters in real time based on actual demands during the waste gas treatment process. This leads to widespread energy waste.

[0003] Traditional systems do not adequately consider the interactions between multiple parameters in the waste gas treatment process. Changes in waste gas flow, concentration, temperature and other parameters will significantly affect the difficulty of waste gas treatment and the energy consumption requirements of the equipment. However, the existing system fails to effectively integrate these parameter information and cannot accurately analyze the waste gas treatment requirements, making it difficult to achieve energy-saving optimization of electrical equipment. In addition, there is poor coordination between the various devices. For example, the operating status of the purifier and the fan lacks effective coordination, and the fan air supply volume cannot be adjusted in real time according to the working status of the purifier, which not only causes energy waste, but may also affect the waste gas treatment effect. In addition, for the industrial waste gas treatment unit cluster, there is a lack of a reasonable task allocation mechanism, and some equipment may idle inefficiently, resulting in low energy utilization efficiency of the entire cluster. Summary of the Invention

[0004] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides an electrical equipment energy-saving control system based on industrial waste gas treatment, in order to solve the above-mentioned technical defects.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an energy-saving control system for electrical equipment based on industrial waste gas treatment, including a waste gas treatment parameter monitoring module, a waste gas treatment demand analysis module, an equipment energy-saving control analysis module, an equipment collaborative control analysis module, an energy-saving control strategy formulation module, a unit cluster control analysis module and a control terminal. The waste gas treatment parameter monitoring module is used to monitor and obtain various parameters in each industrial waste gas treatment unit in real time. The waste gas treatment demand analysis module is used to analyze the interaction coefficient of the waste gas flow, waste gas temperature and waste gas concentration in each industrial waste gas treatment unit. Based on the waste gas treatment demand analysis results, the energy-saving dynamic adjustment coefficient of the electrical equipment is further obtained through the equipment energy-saving control analysis module. The energy-saving control strategy is formulated according to the energy-saving dynamic adjustment coefficient of the electrical equipment. Finally, a comprehensive analysis is performed on each industrial waste gas treatment unit cluster.

[0006] The waste gas treatment demand analysis module is based on a comprehensive analysis of the interaction of various waste gas treatment parameters of each industrial waste gas treatment unit at each monitoring time, and obtains the waste gas temperature interaction adjustment coefficient of each industrial waste gas treatment unit at each monitoring time.

[0007] Equipment energy-saving control analysis module, based on the interactive adjustment coefficient of the exhaust gas temperature of each industrial exhaust gas treatment unit corresponding to each monitoring moment Comprehensively analyze the operating power of the electrical equipment to obtain the energy-saving interactive adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring moment.

[0008] The equipment collaborative control analysis module performs collaborative control energy-saving analysis based on the purification efficiency of each purifier and the air supply volume of each fan corresponding to each industrial waste gas treatment unit, and obtains the air volume adjustment coefficient Kf of each fan corresponding to each industrial waste gas treatment unit;

[0009] Energy-saving control strategy formulation module, based on the energy-saving interactive adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring moment The control strategies for the operating power of each electrical equipment and the operating power of each fan are formulated respectively according to the air volume adjustment coefficient Kf of each fan at each monitoring moment corresponding to each industrial waste gas treatment unit.

[0010] Furthermore, the waste gas treatment parameter monitoring module is used to monitor the waste gas treatment parameters of each industrial waste gas treatment unit corresponding to each monitoring time in real time, and obtain the waste gas treatment parameters of each industrial waste gas treatment unit corresponding to each monitoring time;

[0011] The unit cluster control analysis module performs comprehensive control and energy-saving analysis based on the processing capacity and energy consumption of each industrial waste gas treatment unit, and obtains the processing increase ΔCQ of each efficient operation treatment unit. g ;

[0012] The control terminal performs energy-saving control on the operating power of each electrical device and each fan and the processing increase of each high-efficiency operation processing unit based on the control strategy of the operating power of each electrical device and each fan and the processing increase of each high-efficiency operation processing unit.

[0013] Furthermore, the method for conducting a comprehensive analysis of the interaction effects of various waste gas treatment parameters of each industrial waste gas treatment unit at each monitoring moment is as follows:

[0014] The exhaust gas flow rate change rate of each industrial exhaust gas treatment unit corresponding to each monitoring moment is calculated by calculating the exhaust gas flow rate and the exhaust gas flow rate and exhaust gas concentration at the previous monitoring moment. and exhaust gas concentration change rate Comprehensively calculate the flow concentration interaction coefficient of each industrial waste gas treatment unit corresponding to each monitoring time

[0015] Furthermore, the exhaust gas temperature at the current monitoring time is extracted from the exhaust gas treatment parameters of each industrial exhaust gas treatment unit corresponding to each monitoring time. and the set optimal exhaust gas temperature range [FT min ,FT max ] Analyze and calculate the waste gas temperature interaction adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring time

[0016] Furthermore, the interaction adjustment coefficient of the exhaust gas temperature at each monitoring moment corresponding to each industrial exhaust gas treatment unit is The method for comprehensive analysis of the operating power of electrical equipment is as follows:

[0017] The power factor and power margin of the electrical equipment of each industrial waste gas treatment unit corresponding to each monitoring moment are obtained through calculation and analysis, which are recorded as and Comprehensively calculate the equipment power interaction adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring time

[0018] By calculating the interaction adjustment coefficient of the exhaust gas temperature of each industrial exhaust gas treatment unit corresponding to each monitoring time Interaction adjustment coefficient with device power The product of the energy-saving interaction adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring moment is obtained.

[0019] Furthermore, the specific method of collaborative control energy saving analysis based on the purification efficiency of each purifier and the air supply volume of the fan corresponding to each industrial waste gas treatment unit is as follows:

[0020] Obtain the purification efficiency of each purifier in each industrial waste gas treatment unit corresponding to each monitoring time and rated purification efficiency Jη ln , obtain the air supply volume of each fan in each industrial waste gas treatment unit corresponding to each monitoring time And the maximum air supply volume SF of each fan max and minimum air supply volume SF min ;

[0021] By corresponding each industrial waste gas treatment unit to the purification efficiency of each purifier at each monitoring time Divide by the rated purification efficiency Jη ln, calculate the efficiency influence coefficient Kη of each purifier of each industrial waste gas treatment unit corresponding to each monitoring moment; based on the numerical analysis of the efficiency influence coefficient Kη, calculate the air volume adjustment coefficient Kf of each fan of each industrial waste gas treatment unit corresponding to each monitoring moment.

[0022] Furthermore, the specific control strategy is formulated as follows:

[0023] According to the formula Calculate the energy-saving control target power of each industrial waste gas treatment unit corresponding to each monitoring time It is expressed as the operating power of each electrical equipment in each industrial waste gas treatment unit at each monitoring moment;

[0024] Obtain the rated power EP and minimum operating power SP of each electrical equipment corresponding to each industrial waste gas treatment unit min ,like Then directly adjust the operating power of the electrical equipment to

[0025] like Then directly adjust the operating power of the electrical equipment to SP min ;

[0026] like Then directly adjust the operating power of the electrical equipment to EP;

[0027] According to the formula Calculate the energy-saving control target power of each fan in each industrial waste gas treatment unit corresponding to each monitoring moment It is expressed as the operating power of each fan in each industrial waste gas treatment unit corresponding to each monitoring moment;

[0028] The operating power adjustment strategy of the above electrical equipment is used to adjust the operating power of each fan accordingly.

[0029] Furthermore, the specific comprehensive control energy-saving analysis method is as follows:

[0030] Calculate the processing load coefficient CF of each industrial waste gas treatment unit corresponding to each monitoring time i and energy efficiency coefficient NH i , and then calculate the average energy efficiency coefficient of each industrial waste gas treatment unit

[0031] Comprehensively analyze the treatment load coefficient and energy efficiency coefficient of each industrial waste gas treatment unit, and use CF i <0.3, and The industrial waste gas treatment unit is marked as a treatment unit to be adjusted. The industrial waste gas treatment unit is marked as an efficient operation treatment unit;

[0032] All high-efficiency operation processing units are numbered and recorded as g, g = 1, 2, ..., h, g represents the number of each high-efficiency operation processing unit, and h represents the total number of each high-efficiency operation processing unit;

[0033] Divide the processing capacity of each high-efficiency processing unit by the rated processing capacity to obtain the processing load factor CG of the high-efficiency processing unit. g ;

[0034] Sum up the processing capacity of all processing units to be adjusted to obtain the total processing capacity ZQ of the processing units to be adjusted, and allocate the total processing capacity ZQ of the processing units to be adjusted to the efficient operation processing units. According to the formula Calculate the processing increase ΔCQ of each efficient operation processing unit g .

[0035] Beneficial effects of the present invention:

[0036] 1. In the present invention, by extracting and calculating the waste gas flow, concentration, temperature and other treatment parameters of each industrial waste gas treatment unit at different monitoring times, as well as the power factor, power margin and other parameters of the electrical equipment, the flow concentration interaction coefficient, the waste gas temperature interaction adjustment coefficient, the equipment power interaction adjustment coefficient, etc. are obtained, and finally the energy-saving interaction adjustment coefficient is calculated. By comprehensively considering the interaction between multiple parameters in the waste gas treatment process, a quantitative basis is provided for the accurate analysis of waste gas treatment needs, which helps to achieve energy-saving control of electrical equipment, improve energy utilization efficiency, reduce energy waste, and at the same time ensure the waste gas treatment effect and optimize the overall operating performance of the industrial waste gas treatment system.

[0037] 2. In the present invention, the purification efficiency, rated purification efficiency, air supply volume, maximum and minimum air supply volume of the purifier in each industrial waste gas treatment unit are obtained to calculate the efficiency influence coefficient of the purifier. Based on this, the air volume adjustment coefficient of the fan is calculated using the corresponding formula under different conditions where the efficiency influence coefficient is less than 1 and greater than or equal to 1, thereby realizing a coordinated analysis of the operating status of the purifier and the fan. The air supply volume of the fan can be adjusted in real time according to the working status of the purifier, thereby avoiding energy waste caused by unreasonable air volume and ensuring the waste gas treatment effect. This improves the coordination and energy utilization efficiency between equipment in the industrial waste gas treatment system, and helps to achieve energy-saving and optimized operation of the system.

[0038] 3. In the present invention, by obtaining the processing capacity, rated processing capacity, energy consumption, average energy consumption and other data of each industrial waste gas treatment unit at different monitoring times, the processing load coefficient, energy efficiency coefficient and average energy efficiency coefficient are calculated, and then the processing units to be adjusted and the high-efficiency operation processing units are marked. On this basis, the high-efficiency operation processing units are numbered and their processing load coefficients are calculated, the total processing capacity of the processing units to be adjusted is reasonably allocated to the high-efficiency operation processing units, and the processing increase of each high-efficiency operation processing unit is calculated. Based on the actual processing needs and energy consumption of each unit, the task allocation is dynamically adjusted to avoid inefficient idling of equipment, give full play to the effectiveness of the high-efficiency operation processing units, improve the energy utilization efficiency of the entire industrial waste gas treatment unit cluster, reduce energy consumption, and achieve better energy-saving control and resource optimization allocation. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below with reference to the accompanying drawings.

[0040] Figure 1 This is a principle block diagram of an energy-saving control system for electrical equipment based on industrial waste gas treatment according to an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings. 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 also fall within the scope of protection of the present invention.

[0042] As used herein and in the claims, unless the context clearly indicates otherwise, the terms "a," "an," "an," and / or "the" are not intended to refer to the singular but may include the plural. Generally speaking, the terms "comprises" and "include" only indicate the inclusion of the steps and elements specifically identified, and these steps and elements do not constitute an exclusive list. A method or apparatus may also include other steps or elements.

[0043] Although the present invention has made various references to certain modules in the system according to an embodiment of the present invention, however, any number of different modules can be used and run on the user terminal and / or server. The modules are only illustrative, and different aspects of the system and method can use different modules.

[0044] Flowcharts are used in this disclosure to illustrate the operations performed by systems according to embodiments of the present invention. It should be understood that the preceding or following operations do not necessarily need to be performed in exact order. Instead, various steps may be processed in reverse order or simultaneously, as needed. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0045] Below, the exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention, and it should be understood that the present invention is not limited to the exemplary embodiments described herein.

[0046] Example 1:

[0047] See also Figure 1 As shown, the energy-saving control system for electrical equipment based on industrial waste gas treatment includes:

[0048] Waste gas treatment parameter monitoring module, waste gas treatment demand analysis module, equipment energy-saving control analysis module, equipment collaborative control analysis module, energy-saving control strategy formulation module, unit cluster control analysis module and control terminal; through the waste gas treatment parameter monitoring module, various parameters in each industrial waste gas treatment unit are monitored and obtained in real time, and the waste gas treatment demand analysis module is used to analyze the interaction coefficient of the waste gas flow, waste gas temperature and waste gas concentration in each industrial waste gas treatment unit. Based on the waste gas treatment demand analysis results, the energy-saving dynamic adjustment coefficient of the electrical equipment is further obtained through the equipment energy-saving control analysis module, and the energy-saving control strategy is formulated according to the energy-saving dynamic adjustment coefficient of the electrical equipment. Finally, a comprehensive analysis is conducted on the clusters of each industrial waste gas treatment unit, the processing and operation capacity of each industrial waste gas treatment unit is detailed, and the waste gas treatment volume of each industrial waste gas treatment unit is dynamically allocated, so as to achieve more refined energy-saving control of the electrical equipment for industrial waste gas treatment and improve the energy utilization efficiency and energy-saving effect of the entire industrial waste gas treatment system.

[0049] The waste gas treatment parameter monitoring module is used to monitor the waste gas treatment parameters of each industrial waste gas treatment unit at each monitoring moment in real time, and obtain the waste gas treatment parameters of each industrial waste gas treatment unit at each monitoring moment; wherein, the waste gas treatment parameters of each industrial waste gas treatment unit at each monitoring moment include waste gas flow, waste gas concentration and waste gas temperature.

[0050] The waste gas treatment demand analysis module is based on a comprehensive analysis of the interaction of various waste gas treatment parameters of each industrial waste gas treatment unit at each monitoring time, and obtains the waste gas temperature interaction adjustment coefficient of each industrial waste gas treatment unit at each monitoring time. Among them, i=1, 2, ..., n, i represents the number of each industrial waste gas treatment unit, n represents the total number of industrial waste gas treatment units, j=1, 2, ..., m, j represents the number of each monitoring moment, m represents the total number of each monitoring moment.

[0051] Specifically, the method for conducting a comprehensive analysis of the interactive impact of various waste gas treatment parameters of each industrial waste gas treatment unit at each monitoring moment is as follows:

[0052] The waste gas flow rate at the current monitoring time and the waste gas flow rate at the previous monitoring time are extracted from the waste gas treatment parameters of each industrial waste gas treatment unit corresponding to each monitoring time, and are recorded as and (j>1), by calculating and and take the absolute value of the difference and divide it by Calculate the exhaust gas flow rate change rate of each industrial exhaust gas treatment unit corresponding to each monitoring moment

[0053] Using the same calculation method, the exhaust gas concentration change rate of each industrial exhaust gas treatment unit corresponding to each monitoring time is calculated respectively.

[0054] According to the formula Calculate the flow concentration interaction coefficient of each industrial waste gas treatment unit corresponding to each monitoring time w1 and w2 represent the corresponding set weight factors respectively;

[0055] It should be noted that the values ​​of w1 and w2 are set through experimental tests. By simulating different combinations of industrial waste gas flow and concentration conditions in a laboratory environment, the waste gas treatment equipment is tested, and the energy consumption, treatment effect and other data of the equipment under various conditions are recorded. The values ​​of w1 and w2 are determined by analyzing these data. Specifically, here w1 = 0.2, w2 = 0.15.

[0056] The exhaust gas temperature at the current monitoring time is extracted from the exhaust gas treatment parameters of each industrial exhaust gas treatment unit corresponding to each monitoring time, and is recorded as At the same time, according to the characteristics of the waste gas to be treated and the working requirements of the waste gas treatment equipment, the optimal range of waste gas temperature corresponding to each monitoring time of each industrial waste gas treatment unit is set [FT min ,FT max ];

[0057] when When, according to the formula Calculate the interaction adjustment coefficient of the exhaust gas temperature of each industrial exhaust gas treatment unit corresponding to each monitoring time w3 represents the set weight coefficient;

[0058] when When, according to the formula Calculate the interaction adjustment coefficient of the exhaust gas temperature of each industrial exhaust gas treatment unit corresponding to each monitoring time w4 represents the set weight coefficient;

[0059] when

[0060] It should be noted that the settings of w3, w4 and w5 are the same as the values ​​of w1 and w2 mentioned above. Specifically, w3=0.1 and w4=0.12.

[0061] Equipment energy-saving control analysis module, based on the interactive adjustment coefficient of the exhaust gas temperature of each industrial exhaust gas treatment unit corresponding to each monitoring moment Comprehensively analyze the operating power of the electrical equipment to obtain the energy-saving interactive adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring moment.

[0062] Specifically, the exhaust gas temperature interaction adjustment coefficient of each industrial exhaust gas treatment unit corresponding to each monitoring time is The method for comprehensive analysis of the operating power of electrical equipment is as follows:

[0063] The power factor of the electrical equipment of each industrial waste gas treatment unit at each monitoring time is obtained by dividing the electrical equipment power of each industrial waste gas treatment unit at each monitoring time by the product of the electrical equipment current and voltage, which is recorded as

[0064] The electrical equipment power margin of each industrial waste gas treatment unit at each monitoring time is obtained by subtracting the electrical equipment power from the equipment rated power of each industrial waste gas treatment unit at each monitoring time, and then dividing the difference by the equipment rated power, which is recorded as

[0065] According to the formula Calculate the equipment power interaction adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring time It is expressed as the rated power factor of the electrical equipment, and w5 is expressed as the set weight coefficient;

[0066] By calculating the interaction adjustment coefficient of the exhaust gas temperature of each industrial exhaust gas treatment unit corresponding to each monitoring time Interaction adjustment coefficient with device power The product of the energy-saving interaction adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring moment is obtained.

[0067] It should be noted that the setting of w5 is the same as the setting of w1 and w2 mentioned above. Specifically, w5=0.3 here.

[0068] In a specific embodiment, the present invention extracts and calculates the waste gas flow, concentration, temperature and other treatment parameters of each industrial waste gas treatment unit at different monitoring times, as well as the power factor, power margin and other parameters of the electrical equipment, to obtain the flow concentration interaction coefficient, the waste gas temperature interaction adjustment coefficient, the equipment power interaction adjustment coefficient, etc., and finally calculates the energy-saving interaction adjustment coefficient. By comprehensively considering the interaction between multiple parameters in the waste gas treatment process, a quantitative basis is provided for the accurate analysis of waste gas treatment needs, which helps to achieve energy-saving control of electrical equipment, improve energy utilization efficiency, reduce energy waste, and at the same time ensure the waste gas treatment effect and optimize the overall operating performance of the industrial waste gas treatment system.

[0069] The equipment collaborative control analysis module performs collaborative control energy-saving analysis based on the purification efficiency of each purifier and the air supply volume of each fan corresponding to each industrial waste gas treatment unit, and obtains the air volume adjustment coefficient Kf of each fan corresponding to each industrial waste gas treatment unit;

[0070] Specifically, the specific method of collaborative control energy saving analysis based on the purification efficiency of each purifier and the air supply volume of the fan corresponding to each industrial waste gas treatment unit is as follows:

[0071] Obtain the purification efficiency of each purifier in each industrial waste gas treatment unit corresponding to each monitoring time and rated purification efficiency Jη ln , obtain the air supply volume of each fan in each industrial waste gas treatment unit corresponding to each monitoring time And the maximum air supply volume SF of each fan max and minimum air supply volume SF min ;

[0072] By corresponding each industrial waste gas treatment unit to the purification efficiency of each purifier at each monitoring time Divide by the rated purification efficiency Jη ln , calculate the efficiency influence coefficient Kη of each purifier in each industrial waste gas treatment unit corresponding to each monitoring moment;

[0073] If Kη<1, the air volume adjustment coefficient Kf of each fan in each industrial waste gas treatment unit corresponding to each monitoring moment is calculated according to the formula Kf=1-γ×(1-Kη), where γ represents the corresponding set weight factor; specifically, here γ=0.5.

[0074] If Kη≥1, according to the formula Kf=1+γ×(Kη-1) and Calculate the air volume adjustment coefficient Kf of each fan in each industrial waste gas treatment unit corresponding to each monitoring moment.

[0075] In a specific embodiment, the present invention calculates the efficiency influence coefficient of the purifier by obtaining parameters such as the purification efficiency, rated purification efficiency, and air supply volume, maximum and minimum air supply volume of the purifier in each industrial waste gas treatment unit. Based on this, the corresponding formula is used to calculate the air volume adjustment coefficient of the fan under different conditions where the efficiency influence coefficient is less than 1 and greater than or equal to 1, thereby realizing a coordinated analysis of the operating status of the purifier and the fan, and being able to adjust the air supply volume of the fan in real time according to the working status of the purifier, thereby avoiding energy waste caused by unreasonable air volume, and ensuring the waste gas treatment effect. This improves the coordination and energy utilization efficiency between equipment in the industrial waste gas treatment system, and helps to achieve energy-saving and optimized operation of the system.

[0076] Energy-saving control strategy formulation module, based on the energy-saving interactive adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring moment The control strategies for the operating power of each electrical equipment and the operating power of each fan are formulated based on the air volume adjustment coefficient Kf of each fan at each monitoring moment corresponding to each industrial waste gas treatment unit. The specific control strategy formulation method is as follows:

[0077] According to the formula Calculate the energy-saving control target power of each industrial waste gas treatment unit corresponding to each monitoring time It is expressed as the operating power of each electrical equipment in each industrial waste gas treatment unit at each monitoring moment;

[0078] Obtain the rated power EP and minimum operating power SP of each electrical equipment corresponding to each industrial waste gas treatment unit min ,like Then directly adjust the operating power of the electrical equipment to

[0079] like Then directly adjust the operating power of the electrical equipment to SP min ;

[0080] like Then directly adjust the operating power of the electrical equipment to EP.

[0081] According to the formula Calculate the energy-saving control target power of each fan in each industrial waste gas treatment unit corresponding to each monitoring moment It is expressed as the operating power of each fan in each industrial waste gas treatment unit corresponding to each monitoring moment;

[0082] The operating power adjustment strategy of the above electrical equipment is used to adjust the operating power of each fan accordingly.

[0083] The unit cluster control analysis module performs comprehensive control and energy-saving analysis based on the processing capacity and energy consumption of each industrial waste gas treatment unit, and obtains the processing increase ΔCQ of each efficient operation treatment unit. g , the specific comprehensive control energy-saving analysis method is as follows:

[0084] Obtain the processing capacity, rated processing capacity, energy consumption and average energy consumption of each industrial waste gas treatment unit at each monitoring time. By dividing the processing capacity of each industrial waste gas treatment unit at each monitoring time by the rated processing capacity, the processing load coefficient CF of each industrial waste gas treatment unit at each monitoring time is obtained. i By dividing the average energy consumption of each industrial waste gas treatment unit at each monitoring time by the energy consumption, the energy efficiency coefficient NH of each industrial waste gas treatment unit at each monitoring time is obtained. i , the energy efficiency coefficient NH of each industrial waste gas treatment unit corresponding to each monitoring moment i The sum is divided by n to obtain the average energy efficiency coefficient of each industrial waste gas treatment unit.

[0085] Comprehensively analyze the treatment load coefficient and energy efficiency coefficient of each industrial waste gas treatment unit, and use CF i <0.3, and The industrial waste gas treatment unit is marked as a treatment unit to be adjusted. The industrial waste gas treatment unit is marked as an efficient operation treatment unit;

[0086] All high-efficiency operation processing units are numbered and recorded as g, g = 1, 2, ..., h, g represents the number of each high-efficiency operation processing unit, and h represents the total number of each high-efficiency operation processing unit;

[0087] Divide the processing capacity of each high-efficiency processing unit by the rated processing capacity to obtain the processing load factor CG of the high-efficiency processing unit. g ;

[0088] Sum up the processing capacity of all processing units to be adjusted to obtain the total processing capacity ZQ of the processing units to be adjusted, and allocate the total processing capacity ZQ of the processing units to be adjusted to the efficient operation processing units. According to the formula Calculate the processing increase ΔCQ of each efficient operation processing unit g .

[0089] In a specific embodiment, the present invention obtains data such as the processing capacity, rated processing capacity, energy consumption, average energy consumption, etc. of each industrial waste gas treatment unit at different monitoring times, calculates the processing load coefficient, energy efficiency coefficient and average energy efficiency coefficient, and then marks the processing units to be adjusted and the high-efficiency operation processing units. On this basis, the high-efficiency operation processing units are numbered and their processing load coefficients are calculated, the total processing capacity of the processing units to be adjusted is reasonably allocated to the high-efficiency operation processing units, and the processing increase of each high-efficiency operation processing unit is calculated. Based on the actual processing needs and energy consumption of each unit, the task allocation is dynamically adjusted to avoid inefficient idling of equipment, give full play to the effectiveness of the high-efficiency operation processing units, improve the energy utilization efficiency of the entire industrial waste gas treatment unit cluster, reduce energy consumption, and achieve better energy-saving control and resource optimization allocation.

[0090] The control terminal performs energy-saving control on the operating power of each electrical device and each fan and the processing increase of each high-efficiency operation processing unit based on the control strategy of the operating power of each electrical device and each fan and the processing increase of each high-efficiency operation processing unit.

[0091] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The size of the coefficient is a specific value obtained by quantifying each parameter. Regarding the size of the coefficient, as long as it does not affect the proportional relationship between the parameter and the quantified value, it is acceptable.

[0092] In addition, it will be understood by those skilled in the art that various aspects of the present invention may be illustrated and described by a number of patentable categories or situations, including any new and useful process, machine, product or combination of substances, or any new and useful improvements thereto. Accordingly, various aspects of the present invention may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". In addition, various aspects of the present invention may be represented as a computer product located in one or more computer-readable media, which includes computer-readable program code.

[0093] Unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology and should not be interpreted in an idealized or highly formal sense, unless expressly defined as such herein.

[0094] The above is an illustration of the present invention and should not be considered as limiting thereof. Although several exemplary embodiments of the present invention have been described, it will be readily understood by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined by the claims. It should be understood that the above is an illustration of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. An energy-saving control system for electrical equipment based on industrial waste gas treatment, characterized by: It includes a waste gas treatment parameter monitoring module, a waste gas treatment demand analysis module, an equipment energy-saving control analysis module, an equipment collaborative control analysis module, an energy-saving control strategy formulation module, a unit cluster control analysis module and a control terminal. The waste gas treatment parameter monitoring module is used to monitor and obtain various parameters in each industrial waste gas treatment unit in real time. The waste gas treatment demand analysis module is used to analyze the interaction coefficient of the waste gas flow, waste gas temperature and waste gas concentration in each industrial waste gas treatment unit. Based on the waste gas treatment demand analysis results, the energy-saving dynamic adjustment coefficient of the electrical equipment is further obtained through the equipment energy-saving control analysis module. The energy-saving control strategy is formulated according to the energy-saving dynamic adjustment coefficient of the electrical equipment. Finally, a comprehensive analysis is conducted on each industrial waste gas treatment unit cluster. The waste gas treatment demand analysis module is based on a comprehensive analysis of the interaction of various waste gas treatment parameters of each industrial waste gas treatment unit at each monitoring time, and obtains the waste gas temperature interaction adjustment coefficient of each industrial waste gas treatment unit at each monitoring time. Equipment energy-saving control analysis module, based on the interactive adjustment coefficient of the exhaust gas temperature of each industrial exhaust gas treatment unit corresponding to each monitoring moment Comprehensively analyze the operating power of the electrical equipment to obtain the energy-saving interactive adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring moment. The equipment collaborative control analysis module performs collaborative control energy-saving analysis based on the purification efficiency of each purifier and the air supply volume of each fan corresponding to each industrial waste gas treatment unit, and obtains the air volume adjustment coefficient Kf of each fan corresponding to each industrial waste gas treatment unit; Energy-saving control strategy formulation module, based on the energy-saving interactive adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring moment The control strategies for the operating power of each electrical equipment and the operating power of each fan are formulated respectively according to the air volume adjustment coefficient Kf of each fan at each monitoring moment corresponding to each industrial waste gas treatment unit.

2. The electrical equipment energy-saving control system based on industrial waste gas treatment according to claim 1 is characterized in that: The waste gas treatment parameter monitoring module is used to monitor the waste gas treatment parameters of each industrial waste gas treatment unit at each monitoring time in real time, and obtain the waste gas treatment parameters of each industrial waste gas treatment unit at each monitoring time; The unit cluster control analysis module performs comprehensive control and energy-saving analysis based on the processing capacity and energy consumption of each industrial waste gas treatment unit, and obtains the processing increase ΔCQ of each efficient operation treatment unit. g ; The control terminal performs energy-saving control on the operating power of each electrical device and each fan and the processing increase of each high-efficiency operation processing unit based on the control strategy of the operating power of each electrical device and each fan and the processing increase of each high-efficiency operation processing unit.

3. The electrical equipment energy-saving control system based on industrial waste gas treatment according to claim 1 is characterized in that: The method for conducting a comprehensive analysis of the interactive impact of various waste gas treatment parameters of each industrial waste gas treatment unit at each monitoring time is as follows: The exhaust gas flow rate change rate of each industrial exhaust gas treatment unit corresponding to each monitoring moment is calculated by calculating the exhaust gas flow rate and the exhaust gas flow rate and exhaust gas concentration at the previous monitoring moment. and exhaust gas concentration change rate Comprehensively calculate the flow concentration interaction coefficient of each industrial waste gas treatment unit corresponding to each monitoring time 4. The electrical equipment energy-saving control system based on industrial waste gas treatment according to claim 3 is characterized in that: Extract the waste gas temperature at the current monitoring time based on the waste gas treatment parameters of each industrial waste gas treatment unit corresponding to each monitoring time and the set optimal exhaust gas temperature range [FT min ,FT max ] Analyze and calculate the waste gas temperature interaction adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring time 5. The electrical equipment energy-saving control system based on industrial waste gas treatment according to claim 4 is characterized in that: Interactive adjustment coefficient of exhaust gas temperature at each monitoring moment for each industrial exhaust gas treatment unit The method for comprehensive analysis of the operating power of electrical equipment is as follows: The power factor and power margin of the electrical equipment of each industrial waste gas treatment unit corresponding to each monitoring moment are obtained through calculation and analysis, which are recorded as and Comprehensively calculate the equipment power interaction adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring time By calculating the interaction adjustment coefficient of the exhaust gas temperature of each industrial exhaust gas treatment unit corresponding to each monitoring time Interaction adjustment coefficient with device power The product of the energy-saving interaction adjustment coefficient of each industrial waste gas treatment unit corresponding to each monitoring moment is obtained.

6. The electrical equipment energy-saving control system based on industrial waste gas treatment according to claim 1 is characterized in that: The specific method of collaborative control energy saving analysis based on the purification efficiency of each purifier and the air supply volume of the fan in each industrial waste gas treatment unit is as follows: Obtain the purification efficiency of each purifier in each industrial waste gas treatment unit corresponding to each monitoring time and rated purification efficiency Jη ln , obtain the air supply volume of each fan in each industrial waste gas treatment unit corresponding to each monitoring time And the maximum air supply volume SF of each fan max and minimum air supply volume SF min ; By corresponding each industrial waste gas treatment unit to the purification efficiency of each purifier at each monitoring time Divide by the rated purification efficiency Jη ln , calculate the efficiency influence coefficient Kη of each purifier of each industrial waste gas treatment unit corresponding to each monitoring moment; based on the numerical analysis of the efficiency influence coefficient Kη, calculate the air volume adjustment coefficient Kf of each fan of each industrial waste gas treatment unit corresponding to each monitoring moment.

7. The electrical equipment energy-saving control system based on industrial waste gas treatment according to claim 6 is characterized in that: The specific control strategy is formulated as follows: According to the formula Calculate the energy-saving control target power of each industrial waste gas treatment unit corresponding to each monitoring time It is expressed as the operating power of each electrical equipment in each industrial waste gas treatment unit at each monitoring moment; Obtain the rated power EP and minimum operating power SP of each electrical equipment corresponding to each industrial waste gas treatment unit min ,like Then directly adjust the operating power of the electrical equipment to like Then directly adjust the operating power of the electrical equipment to SP min ; like Then directly adjust the operating power of the electrical equipment to EP; According to the formula Calculate the energy-saving control target power of each fan in each industrial waste gas treatment unit corresponding to each monitoring moment It is expressed as the operating power of each fan in each industrial waste gas treatment unit corresponding to each monitoring moment; The operating power adjustment strategy of the above electrical equipment is used to adjust the operating power of each fan accordingly.

8. The electrical equipment energy-saving control system based on industrial waste gas treatment according to claim 2 is characterized in that: The specific comprehensive control energy-saving analysis method is as follows: Calculate the processing load coefficient CF of each industrial waste gas treatment unit corresponding to each monitoring time i and energy efficiency coefficient NH i , and then calculate the average energy efficiency coefficient of each industrial waste gas treatment unit Comprehensively analyze the treatment load coefficient and energy efficiency coefficient of each industrial waste gas treatment unit, and use CF i <0.3, and The industrial waste gas treatment unit is marked as a treatment unit to be adjusted. The industrial waste gas treatment unit is marked as an efficient operation treatment unit; All high-efficiency operation processing units are numbered and recorded as g, g = 1, 2, ..., h, g represents the number of each high-efficiency operation processing unit, and h represents the total number of each high-efficiency operation processing unit; Divide the processing capacity of each high-efficiency processing unit by the rated processing capacity to obtain the processing load factor CG of the high-efficiency processing unit. g ; Sum up the processing capacity of all processing units to be adjusted to obtain the total processing capacity ZQ of the processing units to be adjusted, and allocate the total processing capacity ZQ of the processing units to be adjusted to the efficient operation processing units. According to the formula Calculate the processing increase ΔCQ of each efficient operation processing unit g .

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