Stable thermodynamic system

Abstract

The invention provides a stable thermodynamic system, and relates to the technical field of energy systems, and the stable thermodynamic system comprises a parameter obtaining module which is used for obtaining real-time thermodynamic parameters of a target thermodynamic system and historical thermodynamic parameters in a historical effective working state; the coefficient determination module is used for classifying the real-time thermal parameters and the historical thermal parameters according to different subsystems of the corresponding target thermal system, and determining a stability adjustment coefficient of each subsystem based on a classification result; the model optimization module is used for constructing a thermodynamic stability model of the target thermodynamic system based on the stability adjustment coefficient and performing model optimization to obtain an optimized stability model; and the stability evaluation module is used for carrying out stability evaluation on the target thermodynamic system based on the optimized stability model and carrying out hierarchical adjustment based on a stability evaluation result. By determining the stability adjustment coefficient of each subsystem of the target thermodynamic system, the thermodynamic stability model of the target thermodynamic system is obtained, and more accurate stability adjustment can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of energy systems, and in particular to a stable thermal system. Background Art

[0002] At present, with the advancement of scientific and technological means, users' demand for energy is increasing day by day, and their pursuit of the stability of energy systems is also getting higher and higher.

[0003] However, existing energy stability management methods are not accurate enough in assessing stability, which affects the effective operation of the thermal system and causes waste of resources.

[0004] Therefore, the present invention provides a stable thermal system. Summary of the invention

[0005] The present invention provides a stable thermal system, which is used to determine the stability adjustment coefficient of each subsystem of the target thermal system by classifying real-time thermal parameters, thereby determining the thermal stability model of the target thermal system, which can make the model determination more accurate, thereby achieving more accurate stability adjustment.

[0006] The present invention provides a stable thermal system, comprising:

[0007] Parameter acquisition module: used to obtain the real-time thermal parameters of the target thermal system and the historical thermal parameters under the historical effective working state;

[0008] Coefficient determination module: used to classify the real-time thermal parameters and historical thermal parameters according to the subsystems of the corresponding target thermal system, and determine the stability adjustment coefficient of each subsystem based on the classification results;

[0009] Model optimization module: used to construct a thermal stability model of the target thermal system based on each stability adjustment coefficient, and optimize the thermal stability model to obtain an optimized stability model;

[0010] Stability assessment module: used to evaluate the stability of the target thermal system based on the optimized stability model, and perform graded adjustments based on the stability assessment results.

[0011] The thermal parameters provided according to the present invention include: thermal power, water supply temperature, return water temperature, pipeline temperature, flow rate, and specific heat capacity.

[0012] The coefficient determination module provided by the present invention includes:

[0013] System classification unit: used to obtain the subsystem classification of the target thermal system and obtain the first parameter type corresponding to each subsystem;

[0014] A parameter classification unit: used for classifying the real-time thermal parameters and the historical thermal parameters based on the first parameter type to obtain a first classification parameter set;

[0015] A second classification unit: used for performing a second classification according to different data types of the thermal parameters corresponding to each first parameter type, so as to obtain a second classification parameter set;

[0016] A parameter adjustment unit: adjusting the second classification parameter of each sub-parameter set in the second classification parameter set according to the parameter time sequence to obtain a second adjustment parameter, thereby constructing a corresponding second sub-parameter set;

[0017] Curve fitting unit: used for filling the second adjustment parameter of the second sub-parameter set into the same coordinate system, and performing curve fitting to obtain the first parameter curve of the current second sub-parameter set;

[0018] An exception processing unit: used for comparing the vertical distance between each second adjustment parameter and the first parameter curve with a preset error distance, thereby interfering and eliminating the second adjustment parameters whose vertical distance is greater than the preset error distance, and obtaining a third sub-parameter set;

[0019] A coefficient determination unit: used for determining a stability adjustment coefficient of a corresponding subsystem based on a third sub-parameter set of the same subsystem;

[0020] Among them, S j is the stability adjustment coefficient of the jth subsystem; n is the number of parameter types contained in the current subsystem; M ai The output value of the parameter corresponding to the i-th sub-parameter of the current subsystem; M bi Input the value of the parameter corresponding to the i-th subparameter of the current subsystem; α i is the parameter conversion coefficient of the i-th sub-parameter; T ai The water supply temperature of the system corresponding to the parameter detection of the i-th sub-parameter of the current sub-system; T bi The return water temperature of the corresponding system when the i-th sub-parameter of the current subsystem is tested; μ is the temperature conversion coefficient; δ is the temperature characteristic constant; A m h is the stability impact index of the mth subsystem on the current jth subsystem; m is the distance compensation factor from the mth subsystem to the current jth subsystem; ω m is the exponential conversion factor of the mth subsystem; z is the number of subsystems contained in the target thermal system; m is not equal to j.

[0021] The coefficient determination unit provided according to the present invention includes:

[0022] A stability coefficient determination subunit: used for determining an initial stability adjustment coefficient of a corresponding subsystem based on a third sub-parameter set of the same subsystem;

[0023] The second coefficient determination subunit is used to perform second parameter detection based on different detection points of the same subsystem, so as to obtain a third sub-parameter set corresponding to each detection point, and determine a second stability adjustment coefficient set of the corresponding subsystem;

[0024] Coefficient adjustment subunit: optimizes the initial stability adjustment coefficient based on each second stability adjustment coefficient in the second stability adjustment coefficient set to obtain the stability adjustment coefficient of the corresponding subsystem.

[0025] The model optimization module provided by the present invention includes:

[0026] Model building unit: used for building a thermal stability model of the target thermal system based on the stability adjustment coefficient of each subsystem of the target thermal system;

[0027] Model optimization unit: used for optimizing the thermal stability model based on the model parameters of the historical thermal stability model of the target thermal system, so as to obtain an optimized stability model.

[0028] The model optimization unit provided by the present invention includes:

[0029] Parameter acquisition subunit: used to acquire model parameters of the historical thermal stability model of the target thermal system, and to acquire historical environmental parameters corresponding to each thermal stability model of the target thermal system;

[0030] Weight determination subunit: used to determine the first influence weight of each historical environmental parameter corresponding to the historical thermal stability model, and compare the real-time environmental parameters of the target thermal system with the historical environmental parameters to obtain parameter similarity;

[0031] Model optimization subunit: used to combine the first influence weight with the parameter similarity, so as to optimize the thermal stability model of the target thermal system and obtain an optimized stability model.

[0032] The stability evaluation module provided by the present invention comprises:

[0033] Model processing unit: used to process the real-time thermal parameters of the target thermal system based on the optimized stability model to obtain the stability results of the target thermal system;

[0034] Grade determination unit: used for comparing the preset result evaluation data table with the stability result of the target thermal system, so as to determine the stability grade of the target thermal system;

[0035] Stability adjustment unit: used to determine the evaluation result of the corresponding level based on the stability level of the target thermal system, thereby determining the stability adjustment plan of the corresponding level and performing stability adjustment.

[0036] The stability adjustment unit provided by the present invention comprises:

[0037] Level comparison subunit: used to determine whether the stability level of the target thermal system is less than the preset maximum stability level;

[0038] If the stability level is less than the preset maximum stability level, determining the evaluation result of the corresponding level;

[0039] Otherwise, the corresponding warning level is obtained based on the stability level to issue a system warning;

[0040] Stability adjustment subunit: used to screen the stability adjustment scheme of the corresponding level from the scheme database based on the evaluation results of the corresponding level and perform stability adjustment.

[0041] A stable thermal system provided by the present invention classifies real-time thermal parameters to determine the stability adjustment coefficient of each subsystem of the target thermal system, thereby determining the thermal stability model of the target thermal system, which can make the model determination more accurate, thereby achieving more accurate stability adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 It is a structural diagram of a stable thermal system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.

[0045] Embodiment 1:

[0046] The embodiment of the present invention provides a stable thermal system, such as Figure 1 As shown, including:

[0047] Parameter acquisition module: used to obtain the real-time thermal parameters of the target thermal system and the historical thermal parameters under the historical effective working state;

[0048] Coefficient determination module: used to classify the real-time thermal parameters and historical thermal parameters according to the subsystems of the corresponding target thermal system, and determine the stability adjustment coefficient of each subsystem based on the classification results;

[0049] Model optimization module: used to construct a thermal stability model of the target thermal system based on each stability adjustment coefficient, and optimize the thermal stability model to obtain an optimized stability model;

[0050] Stability assessment module: used to evaluate the stability of the target thermal system based on the optimized stability model, and perform graded adjustments based on the stability assessment results.

[0051] In this embodiment, the thermal parameters include: thermal power, water supply temperature, return water temperature, pipeline temperature, flow rate, and specific heat capacity.

[0052] In this embodiment, the historical thermal parameters refer to the thermal parameters of the target thermal system under the historical effective working state.

[0053] In this embodiment, the target thermal system includes several subsystems, including a steam system, a water supply system, a condensate system, a heat recovery extraction system, an industrial steam extraction system, a heater drain system, a boiler drain and venting system, a cleaning system and a heat network circulating water system, a combustion system, a primary air system, a secondary air system, a feeding system, a flue gas system and an ignition oil system.

[0054] In this embodiment, the stability adjustment coefficient is a coefficient obtained after processing the thermal parameters of each subsystem and used to determine the stability of the corresponding subsystem.

[0055] In this embodiment, the thermal stability model is a thermal stability model that is constructed on the basis of each stability adjustment coefficient and is capable of determining the stability of the target thermal system.

[0056] In this embodiment, the optimized stability model is a stability model obtained by optimizing corresponding parameters of the thermodynamic stability model based on the model parameters of the historical thermodynamic stability model.

[0057] In this embodiment, the stability assessment is to input the real-time thermal parameters of the target thermal system into the optimized stability model to obtain the stability output result.

[0058] In this embodiment, graded regulation refers to judging the stability level of the target thermal system based on the stability evaluation result, and determining the stability regulation scheme of the corresponding level for regulation based on the stability level.

[0059] The beneficial effect of the above technical solution is: by classifying the real-time thermal parameters, the stability adjustment coefficient of each subsystem of the target thermal system is determined, thereby determining the thermal stability model of the target thermal system, which can make the model determination more accurate, thereby achieving more accurate stability adjustment.

[0060] Embodiment 2:

[0061] Based on Example 1, the thermal parameters include: thermal power, water supply temperature, return water temperature, pipeline temperature, flow rate, and specific heat capacity.

[0062] The beneficial effect of the above technical solution is that by acquiring thermal parameters and performing parameter classification processing, the stability adjustment coefficient of each subsystem of the determined target thermal system can be made more accurate and effective, thereby achieving more accurate stability adjustment.

[0063] Embodiment 3:

[0064] Based on the first embodiment, the coefficient determination module includes:

[0065] System classification unit: used to obtain the subsystem classification of the target thermal system and obtain the first parameter type corresponding to each subsystem;

[0066] A parameter classification unit: used for classifying the real-time thermal parameters and the historical thermal parameters based on the first parameter type to obtain a first classification parameter set;

[0067] A second classification unit: used for performing a second classification according to different data types of the thermal parameters corresponding to each first parameter type, so as to obtain a second classification parameter set;

[0068] A parameter adjustment unit: adjusting the second classification parameter of each sub-parameter set in the second classification parameter set according to the parameter time sequence to obtain a second adjustment parameter, thereby constructing a corresponding second sub-parameter set;

[0069] Curve fitting unit: used for filling the second adjustment parameter of the second sub-parameter set into the same coordinate system, and performing curve fitting to obtain the first parameter curve of the current second sub-parameter set;

[0070] An exception processing unit: used for comparing the vertical distance between each second adjustment parameter and the first parameter curve with a preset error distance, thereby interfering and eliminating the second adjustment parameters whose vertical distance is greater than the preset error distance, and obtaining a third sub-parameter set;

[0071] A coefficient determination unit: used for determining a stability adjustment coefficient of a corresponding subsystem based on a third sub-parameter set of the same subsystem;

[0072] Among them, S j is the stability adjustment coefficient of the jth subsystem; n is the number of parameter types contained in the current subsystem; M ai The output value of the parameter corresponding to the i-th sub-parameter of the current subsystem; M bi Input the value of the parameter corresponding to the i-th subparameter of the current subsystem; α i is the parameter conversion coefficient of the i-th sub-parameter; T ai The water supply temperature of the system corresponding to the parameter detection of the i-th sub-parameter of the current sub-system; T bi The return water temperature of the corresponding system when the i-th sub-parameter of the current subsystem is tested; μ is the temperature conversion coefficient; δ is the temperature characteristic constant; A m h is the stability impact index of the mth subsystem on the current jth subsystem; m is the distance compensation factor from the mth subsystem to the current jth subsystem; ω m is the exponential conversion factor of the mth subsystem; z is the number of subsystems contained in the target thermal system; m is not equal to j.

[0073] In this embodiment, the first parameter type is the parameter type included in each subsystem obtained after classifying the target thermal system.

[0074] In this embodiment, the first classification parameter set is obtained by classifying the real-time thermal parameters and the historical thermal parameters based on the first parameter type, that is, each first classification parameter subset corresponds to the thermal parameters of the same subsystem of the target thermal system.

[0075] In this embodiment, the second classification parameter set refers to a classification parameter set obtained by performing a second classification on each first classification parameter subset of the first classification parameter set according to different corresponding data types of the parameters, that is, each second classification parameter subset corresponds to thermal parameters of the same data type of the same subsystem of the target thermal system.

[0076] In this embodiment, the second sub-parameter set is obtained by sorting each second classification parameter in each second classification parameter subset according to the parameter time sequence.

[0077] In this embodiment, the first parameter curve is a parameter curve obtained by filling the ordered second adjustment parameters of each second sub-parameter set into the same coordinate system and performing curve connection and curve fitting, wherein each second sub-parameter set corresponds to a first parameter curve.

[0078] In this embodiment, the third sub-parameter set is a parameter set formed based on the first parameter curve excluding the second adjustment parameters whose vertical distance is greater than the preset error distance, and based on the remaining second adjustment parameters in the corresponding second sub-parameter set.

[0079] In this embodiment, the stability adjustment coefficient is an adjustment coefficient used to judge the stability of the corresponding subsystem, which is determined based on the parameter output value, input value and corresponding return water temperature, supply water temperature and other parameters in the third sub-parameter set of the same subsystem.

[0080] The beneficial effect of the above technical solution is that by determining the stability adjustment coefficient of each subsystem of the target thermal system, a thermal stability model of the target thermal system is constructed, which can make the model determination more accurate.

[0081] Embodiment 4:

[0082] Based on the third embodiment, the coefficient determination unit includes:

[0083] A stability coefficient determination subunit: used for determining an initial stability adjustment coefficient of a corresponding subsystem based on a third sub-parameter set of the same subsystem;

[0084] The second coefficient determination subunit is used to perform second parameter detection based on different detection points of the same subsystem, so as to obtain a third sub-parameter set corresponding to each detection point, and determine a second stability adjustment coefficient set of the corresponding subsystem;

[0085] Coefficient adjustment subunit: optimizes the initial stability adjustment coefficient based on each second stability adjustment coefficient in the second stability adjustment coefficient set to obtain the stability adjustment coefficient of the corresponding subsystem.

[0086] In this embodiment, the initial stability adjustment coefficient is an adjustment coefficient used to judge the stability of the corresponding subsystem, which is determined based on the parameter output value, input value and corresponding return water temperature, supply water temperature and other parameters in the third sub-parameter set of the same subsystem.

[0087] In this embodiment, the second parameter is obtained by acquiring thermal parameters based on different detection points of the same subsystem.

[0088] In this embodiment, the second stability adjustment coefficient set refers to a set of stability adjustment coefficients corresponding to each detection point formed by calculating the corresponding second stability adjustment coefficient after processing the second parameter of each detection point.

[0089] In this embodiment, the stability adjustment coefficient is obtained by optimizing the initial stability adjustment coefficient based on each second stability adjustment coefficient in the second stability adjustment coefficient set.

[0090] The beneficial effect of the above technical solution is that by determining the stability adjustment coefficient of each subsystem of the target thermal system, a thermal stability model of the target thermal system is constructed, which can make the model determination more accurate.

[0091] Embodiment 5:

[0092] Based on Example 3, the model optimization module includes:

[0093] Model building unit: used for building a thermal stability model of the target thermal system based on the stability adjustment coefficient of each subsystem of the target thermal system;

[0094] Model optimization unit: used for optimizing the thermal stability model based on the model parameters of the historical thermal stability model of the target thermal system, so as to obtain an optimized stability model.

[0095] In this embodiment, the stability adjustment coefficient is a coefficient obtained after processing the thermal parameters of each subsystem and used to determine the stability of the corresponding subsystem.

[0096] In this embodiment, the thermal stability model is a thermal stability model that is constructed on the basis of each stability adjustment coefficient and is capable of determining the stability of the target thermal system.

[0097] In this embodiment, the optimized stability model is a stability model obtained by optimizing corresponding parameters of the thermodynamic stability model based on the model parameters of the historical thermodynamic stability model.

[0098] The beneficial effect of the above technical solution is that by optimizing the thermal stability model in combination with the historical thermal stability model of the thermal system, the model determination of the target thermal system can be made more accurate.

[0099] Embodiment 6:

[0100] Based on Example 5, the model optimization unit includes:

[0101] Parameter acquisition subunit: used to acquire model parameters of the historical thermal stability model of the target thermal system, and to acquire historical environmental parameters corresponding to each thermal stability model of the target thermal system;

[0102] Weight determination subunit: used to determine the first influence weight of each historical environmental parameter corresponding to the historical thermal stability model, and compare the real-time environmental parameters of the target thermal system with the historical environmental parameters to obtain parameter similarity;

[0103] Model optimization subunit: used to combine the first influence weight with the parameter similarity, so as to optimize the thermal stability model of the target thermal system and obtain an optimized stability model.

[0104] In this embodiment, the historical thermodynamic stability model is a thermodynamic stability model of the target thermodynamic system at each historical moment corresponding to the historical effective working state.

[0105] In this embodiment, the historical environmental parameters refer to the external environmental parameters of the target thermal system corresponding to each historical moment.

[0106] In this embodiment, the real-time environmental parameters refer to the real-time external environmental parameters of the target thermal system, wherein the real-time environmental parameters include: pressure, humidity, wind force, etc.

[0107] In this embodiment, the parameter similarity is the parameter similarity between each historical environment parameter and the real-time environment parameter obtained by comparing the real-time environment parameter with the historical environment parameter.

[0108] In this embodiment, the first impact weight is determined based on the impact degree of each historical environmental parameter on the corresponding historical thermal stability model.

[0109] The beneficial effect of the above technical solution is that by optimizing the thermal stability model in combination with the historical thermal stability model of the thermal system, the model determination of the target thermal system can be made more accurate.

[0110] Embodiment 7:

[0111] Based on Example 5, the stability assessment module includes:

[0112] Model processing unit: used to process the real-time thermal parameters of the target thermal system based on the optimized stability model to obtain the stability results of the target thermal system;

[0113] Grade determination unit: used for comparing the preset result evaluation data table with the stability result of the target thermal system, so as to determine the stability grade of the target thermal system;

[0114] Stability adjustment unit: used to determine the evaluation result of the corresponding level based on the stability level of the target thermal system, thereby determining the stability adjustment plan of the corresponding level and performing stability adjustment.

[0115] In this embodiment, the stability result is the output result obtained by inputting the real-time thermal parameters into the optimized stability model, wherein the input of the optimized stability model is the real-time thermal parameters and the output is the system stability of the target thermal system.

[0116] In this embodiment, the result evaluation data table is a stability evaluation result matched with the target thermal system, wherein the result evaluation data table includes: all stability results existing in the thermal system and the corresponding stability level of each stability result.

[0117] The beneficial effect of the above technical solution is: by analyzing the stability assessment results, the stability level of the target thermal system is determined, and graded adjustments are performed, which can make the adjustment results more efficient and accurate.

[0118] Embodiment 8:

[0119] Based on Example 7, the stability adjustment unit includes:

[0120] Level comparison subunit: used to determine whether the stability level of the target thermal system is less than the preset maximum stability level;

[0121] If the stability level is less than the preset maximum stability level, determining the evaluation result of the corresponding level;

[0122] Otherwise, the corresponding warning level is obtained based on the stability level to issue a system warning;

[0123] Stability adjustment subunit: used to screen the stability adjustment scheme of the corresponding level from the scheme database based on the evaluation results of the corresponding level and perform stability adjustment.

[0124] In this embodiment, the preset maximum stability level is predetermined based on the system stability regulation capability of the target thermal system.

[0125] In this embodiment, the higher the stability level, the lower the warning level.

[0126] In this embodiment, the system warning is based on the warning level to perform a thermal system warning of a corresponding level.

[0127] The beneficial effect of the above technical solution is: by analyzing the stability assessment results, the stability level of the target thermal system is determined, and graded adjustments are performed, which can make the adjustment results more efficient and accurate.

[0128] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A stable thermal system, characterized in that: include: Parameter acquisition module: used to obtain the real-time thermal parameters of the target thermal system and the historical thermal parameters under the historical effective working state; Coefficient determination module: used to classify the real-time thermal parameters and historical thermal parameters according to the subsystems of the corresponding target thermal system, and determine the stability adjustment coefficient of each subsystem based on the classification results; Model optimization module: used to construct a thermal stability model of the target thermal system based on each stability adjustment coefficient, and optimize the thermal stability model to obtain an optimized stability model; Stability assessment module: used to evaluate the stability of the target thermal system based on the optimized stability model, and perform graded adjustments based on the stability assessment results.

2. A stable thermal system according to claim 1, characterized in that: The thermal parameters include: thermal power, water supply temperature, return water temperature, pipeline temperature, flow rate, and specific heat capacity.

3. A stable thermal system according to claim 1, characterized in that: The coefficient determination module includes: System classification unit: used to obtain the subsystem classification of the target thermal system and obtain the first parameter type corresponding to each subsystem; A parameter classification unit: used for classifying the real-time thermal parameters and the historical thermal parameters based on the first parameter type to obtain a first classification parameter set; A second classification unit: used for performing a second classification according to different data types of the thermal parameters corresponding to each first parameter type, so as to obtain a second classification parameter set; A parameter adjustment unit: adjusting the second classification parameter of each sub-parameter set in the second classification parameter set according to the parameter time sequence to obtain a second adjustment parameter, thereby constructing a corresponding second sub-parameter set; Curve fitting unit: used for filling the second adjustment parameter of the second sub-parameter set into the same coordinate system, and performing curve fitting to obtain the first parameter curve of the current second sub-parameter set; An exception processing unit: used for comparing the vertical distance between each second adjustment parameter and the first parameter curve with a preset error distance, thereby interfering and eliminating the second adjustment parameters whose vertical distance is greater than the preset error distance, and obtaining a third sub-parameter set; A coefficient determination unit: used for determining a stability adjustment coefficient of a corresponding subsystem based on a third sub-parameter set of the same subsystem; Among them, S j is the stability adjustment coefficient of the jth subsystem; n is the number of parameter types contained in the current subsystem; M ai The output value of the parameter corresponding to the i-th sub-parameter of the current subsystem; M bi Input the value of the parameter corresponding to the i-th subparameter of the current subsystem; α i is the parameter conversion coefficient of the i-th sub-parameter; T ai The water supply temperature of the system corresponding to the parameter detection of the i-th sub-parameter of the current sub-system; T bi The return water temperature of the corresponding system when the i-th sub-parameter of the current subsystem is tested; μ is the temperature conversion coefficient; δ is the temperature characteristic constant; A m h is the stability impact index of the mth subsystem on the current jth subsystem; m is the distance compensation factor from the mth subsystem to the current jth subsystem; ω m is the exponential conversion factor of the mth subsystem; z is the number of subsystems contained in the target thermal system; m is not equal to j.

4. A stable thermal system according to claim 3, characterized in that: Coefficient determination unit, including: A stability coefficient determination subunit: used for determining an initial stability adjustment coefficient of a corresponding subsystem based on a third sub-parameter set of the same subsystem; The second coefficient determination subunit is used to perform second parameter detection based on different detection points of the same subsystem, so as to obtain a third sub-parameter set corresponding to each detection point, and determine a second stability adjustment coefficient set of the corresponding subsystem; Coefficient adjustment subunit: optimizes the initial stability adjustment coefficient based on each second stability adjustment coefficient in the second stability adjustment coefficient set to obtain the stability adjustment coefficient of the corresponding subsystem.

5. A stable thermal system according to claim 3, characterized in that: Model optimization module, including: Model building unit: used for building a thermal stability model of the target thermal system based on the stability adjustment coefficient of each subsystem of the target thermal system; Model optimization unit: used for optimizing the thermal stability model based on the model parameters of the historical thermal stability model of the target thermal system, so as to obtain an optimized stability model.

6. A stable thermal system according to claim 5, characterized in that: Model optimization unit, including: Parameter acquisition subunit: used to acquire model parameters of the historical thermal stability model of the target thermal system, and to acquire historical environmental parameters corresponding to each thermal stability model of the target thermal system; Weight determination subunit: used to determine the first influence weight of each historical environmental parameter corresponding to the historical thermal stability model, and compare the real-time environmental parameters of the target thermal system with the historical environmental parameters to obtain parameter similarity; Model optimization subunit: used to combine the first influence weight with the parameter similarity, so as to optimize the thermal stability model of the target thermal system and obtain an optimized stability model.

7. A stable thermal system according to claim 5, characterized in that: Stability assessment module, including: Model processing unit: used to process the real-time thermal parameters of the target thermal system based on the optimized stability model to obtain the stability results of the target thermal system; Grade determination unit: used for comparing the preset result evaluation data table with the stability result of the target thermal system, so as to determine the stability grade of the target thermal system; Stability adjustment unit: used to determine the evaluation result of the corresponding level based on the stability level of the target thermal system, so as to determine the stability adjustment plan of the corresponding level and perform stability adjustment.

8. A stable thermal system according to claim 7, characterized in that: Stability adjustment unit, comprising: Level comparison subunit: used to determine whether the stability level of the target thermal system is less than the preset maximum stability level; If the stability level is less than the preset maximum stability level, determining the evaluation result of the corresponding level; Otherwise, the corresponding warning level is obtained based on the stability level to issue a system warning; Stability adjustment subunit: used to screen the stability adjustment scheme of the corresponding level from the scheme database based on the evaluation results of the corresponding level and perform stability adjustment.

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