A cooling tower operation performance evaluation system and method based on data analysis

Abstract

The invention discloses a cooling tower operation performance evaluation system and method based on data analysis, relates to the field of cooling tower detection technology, solves the technical problems in the prior art that real-time evaluation analysis cannot be performed based on detection analysis at multiple angles, and the cause of a fault cannot be determined based on a specific numerical curve. Specifically, performance evaluation information of an analysis subject is obtained, a performance evaluation coefficient is obtained based on the performance evaluation information, and an evaluation coefficient curve is constructed based on numerical statistics and connection of the performance evaluation coefficient. If the slope of a curve in the evaluation coefficient curve increases instantaneously and wirelessly and the curve shows a downward trend, the corresponding moment is determined as a moment of abnormal human operation; if the slope of a curve in the evaluation coefficient curve continues to increase and the curve shows a downward trend, the corresponding moment is determined as a moment of abnormal equipment performance.

Description

Technical Field

[0001] The present invention relates to the technical field of cooling tower detection, and in particular to a cooling tower operation performance evaluation system and method based on data analysis. Background Art

[0002] A cooling tower is a device that uses water as a circulating coolant to absorb heat from a system and discharge it into the atmosphere to lower the water temperature. It uses the heat exchange between water and air flow to generate steam, and the steam evaporates and takes away the heat to achieve the principles of evaporative heat dissipation, convection heat transfer and radiation heat transfer to dissipate the waste heat generated in industry or refrigeration and air conditioning to lower the water temperature. The device is generally barrel-shaped, hence the name cooling tower.

[0003] However, in the prior art, when the cooling tower is in operation, it is not possible to perform multiple angle detection based on real-time operation performance evaluation, cooling performance evaluation, and optimization feasibility evaluation, and it is impossible to ensure the operating efficiency of the cooling tower and make reasonable cooling tower operation decisions. In addition, it is impossible to perform real-time evaluation and analysis based on multiple angle detection and analysis, and it is impossible to determine the cause of the fault based on the specific numerical curve, which reduces the operating efficiency of the cooling tower.

[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 solve the above-mentioned problems and to propose a cooling tower operation performance evaluation system and method based on data analysis.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A cooling tower operation performance evaluation system based on data analysis includes an operation performance evaluation center, and the operation performance evaluation center is connected to:

[0008] The operation performance real-time evaluation unit is used to set the cooling tower as the analysis subject, collect the real-time performance evaluation information, obtain the real-time operation performance evaluation coefficient according to the information analysis, and obtain the operation performance evaluation qualified period and the operation performance evaluation unqualified period by comparing the coefficients;

[0009] A cooling performance evaluation unit is used to analyze the cooling performance evaluation period and the cooling performance reference period, obtain the period temperature control information and the period speed control information according to the analysis, and obtain the cooling performance evaluation abnormal period and the cooling performance evaluation normal period by information comparison;

[0010] The optimization feasibility evaluation unit is used to obtain the optimization progress parameters and control influence parameters of the analysis subject, and obtain the unqualified period and qualified period of optimization feasibility evaluation according to the parameter comparison;

[0011] The performance evaluation analysis unit is used to obtain the performance evaluation information of the analysis subject, obtain the performance evaluation coefficient according to the performance evaluation information, and construct the evaluation coefficient curve according to the numerical statistics and connection of the performance evaluation coefficient. If the slope of the curve in the evaluation coefficient curve increases infinitely instantaneously and the curve shows a downward trend, the corresponding moment is determined to be the moment of abnormal human operation; if the slope of the curve in the evaluation coefficient curve continues to increase and the curve shows a downward trend, the corresponding moment is determined to be the moment of abnormal equipment performance.

[0012] As a preferred embodiment of the present invention, the real-time performance evaluation information includes analyzing the temperature mean ratio of the mean inlet and outlet water temperature deviation to the air wet-bulb temperature floating suppression temperature mean during the operation of the main body, analyzing the reciprocating floating frequency of the corresponding flow floating span deviation mean when the internal air flow is not within the set flow threshold range and within the set flow threshold range during the operation of the main body, and analyzing the span value ratio of the internal water flow exceeding the preset value when the inlet and outlet water temperature difference is within the set range during the operation of the main body and the floating reduction span of the fan power consumption.

[0013] As a preferred embodiment of the present invention, if the real-time evaluation coefficient of the operating performance during the operation of the analysis subject exceeds the real-time evaluation coefficient threshold of the operating performance, the current time period is marked as a period of qualified operating performance evaluation; if the real-time evaluation coefficient of the operating performance during the operation of the analysis subject does not exceed the real-time evaluation coefficient threshold of the operating performance, the current time period is marked as a period of unqualified operating performance evaluation.

[0014] As a preferred embodiment of the present invention, the cooling performance evaluation period is the operating period after the analysis subject completes the real-time evaluation of the operating performance; the cooling performance reference period is the period between the start time of the operation of the analysis subject and the start time of the cooling performance evaluation period.

[0015] As a preferred embodiment of the present invention, the cooling performance evaluation period is relative to the cooling performance reference period, and the period temperature control information and the period speed control information are respectively the increase in the mean value of the inlet and outlet water temperature difference of the corresponding analysis subject and the increase in the mean value of the temperature difference floating span during the temperature difference control of the analysis subject, and the speed value ratio of the maximum reduction speed increase of the temperature difference floating during the inlet and outlet water temperature difference control stage of the corresponding analysis subject and the maximum speed decrease of the secondary floating after the temperature difference stops floating.

[0016] As a preferred embodiment of the present invention, if the time period temperature control information exceeds the increase span value ratio threshold, and the time period speed control information exceeds the speed value ratio threshold, the current time period is marked as an abnormal cooling performance evaluation period; if the time period temperature control information does not exceed the increase span value ratio threshold, or the time period speed control information does not exceed the speed value ratio threshold, the current time period is marked as a normal cooling performance evaluation period.

[0017] As a preferred embodiment of the present invention, the optimization progress parameters and control influencing parameters are respectively the actual water temperature reduction speed improvement span during the analysis of the main body inlet and outlet water temperature difference control stage, the corresponding deviation span value between the real-time inlet and outlet water temperature difference and the set water temperature difference, and the extension time of the real-time control cycle and the shortening value of the interval time between adjacent control cycles during the analysis of the main body operation process.

[0018] As a preferred implementation of the present invention, if the optimization progress parameter exceeds the speed span numerical ratio threshold, and the control influence parameter exceeds the time numerical ratio threshold, the current period is marked as a qualified period for the optimization feasibility assessment; if the optimization progress parameter does not exceed the speed span numerical ratio threshold, or the control influence parameter exceeds the time numerical ratio threshold, the current period is marked as an unqualified period for the optimization feasibility assessment.

[0019] As a preferred embodiment of the present invention, the performance evaluation information includes the non-intersection duration of the corresponding time periods during the operation time periods with abnormal operation performance evaluation and the operation time periods with abnormal cooling performance evaluation within the analysis subject operation time periods, the maximum numerical update speed of the inlet and outlet water temperature difference control span deviation value corresponding to the time periods with qualified optimization feasibility evaluation and the time periods with unqualified optimization feasibility evaluation within the analysis subject operation time periods, and the proportion of the total duration of the merged time periods and the operation time periods corresponding to the overlapping time periods with qualified operation performance evaluation and normal cooling performance evaluation within the analysis subject operation time periods.

[0020] As a preferred embodiment of the present invention, a cooling tower operation performance evaluation method based on data analysis, the specific operation performance evaluation method is as follows:

[0021] Step 1: Real-time evaluation of operating performance: Set the cooling tower as the analysis subject, collect real-time performance evaluation information, obtain real-time operating performance evaluation coefficients based on information analysis, and obtain qualified and unqualified operating performance evaluation periods through coefficient comparison;

[0022] Step 2: Cooling performance evaluation: Analyze the cooling performance evaluation period and the cooling performance reference period, obtain the period temperature control information and the period speed control information according to the analysis, and obtain the cooling performance evaluation abnormal period and the cooling performance evaluation normal period by comparing the information;

[0023] Step 3: Optimize the feasibility assessment, obtain the optimization progress parameters and control influence parameters of the analysis subject, and obtain the unqualified period and qualified period of the optimization feasibility assessment based on parameter comparison;

[0024] Step 4: Performance evaluation analysis: obtain the performance evaluation information of the analysis subject, obtain the performance evaluation coefficient based on the performance evaluation information, and construct an evaluation coefficient curve based on the numerical statistics of the performance evaluation coefficient and connect them. If the slope of the curve in the evaluation coefficient curve increases infinitely instantaneously and the curve shows a downward trend, the corresponding moment is determined to be the moment of abnormal human operation; if the slope of the curve in the evaluation coefficient curve continues to increase and the curve shows a downward trend, the corresponding moment is determined to be the moment of abnormal equipment performance.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] 1. In the present invention, the real-time operation performance evaluation of the cooling tower is carried out, and the current operation of the cooling tower is controlled according to the operation performance evaluation of the cooling tower. At the same time, the accuracy of the operation performance evaluation of the cooling tower can be improved according to the operation performance evaluation result. Different evaluations can be carried out on the cooling tower when the operation performance is abnormal and normal, so as to ensure that the evaluation fits the performance of the cooling tower, and facilitate the improvement of the pertinence of the operation regulation;

[0027] Evaluate the cooling performance of the analysis subject, conduct cooling performance evaluation when the analysis subject passes the operation performance evaluation, infer the operation trend of the analysis subject through the cooling performance floating analysis of the analysis subject, and control the operation of the analysis subject through reasonable trend analysis, thereby improving the accuracy of the operation performance evaluation and avoiding abnormal cooling performance trend of the analysis subject when the real-time performance evaluation is passed, which makes it impossible to guarantee the accuracy and rationality of the operation performance evaluation; the evaluation efficiency of the performance evaluation center can be further guaranteed through real-time cooling performance trend analysis.

[0028] 2. In the present invention, the feasibility of optimizing the analysis subject is evaluated, and the feasibility of optimizing the operating parameters of the analysis subject is accurately evaluated when there are risks in the operation of the analysis subject, so as to make accurate decisions on the operation of the analysis subject, avoid the operation of the analysis subject failing to meet the actual operation requirements, and avoid equipment operation and maintenance when the analysis subject is currently able to operate, resulting in the analysis subject's operating efficiency failing to fit the cooling task progress to the maximum extent;

[0029] An overall performance evaluation and analysis is conducted on the analysis subject to facilitate operation detection of the analysis subject and improve the accuracy of the analysis subject's operation decisions. At the same time, the overall operation performance evaluation can infer the cause of the analysis subject's failure based on real-time performance, and specifically distinguish whether the performance of the equipment is reduced or caused by abnormal human operation. It provides an operation and maintenance direction for the analysis subject during its operation phase, ensures that targeted regulation can be carried out when the analysis subject operates abnormally, and improves the stability of cooling operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0031] Figure 1 This is a principle block diagram of Embodiment 1 of the present invention;

[0032] Figure 2 This is a principle block diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0034] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0035] Embodiment 1

[0036] See also Figure 1 As shown, a cooling tower operation performance evaluation system based on data analysis includes an operation performance evaluation center, wherein the operation performance evaluation center is communicatively connected to an operation performance real-time evaluation unit, a cooling performance evaluation unit, and an optimization feasibility evaluation unit;

[0037] The operation performance evaluation center generates a real-time operation performance evaluation signal and sends the real-time operation performance evaluation signal to the real-time operation performance evaluation unit. After receiving the real-time operation performance evaluation signal, the real-time operation performance evaluation unit performs a real-time operation performance evaluation on the cooling tower, and controls the current operation of the cooling tower according to the operation performance evaluation of the cooling tower. At the same time, the accuracy of the operation performance evaluation of the cooling tower can be improved according to the operation performance evaluation result, and the cooling tower can be evaluated differently when the operation performance is abnormal or normal, so as to ensure that the evaluation fits the performance of the cooling tower, so as to improve the pertinence of the operation regulation;

[0038] The cooling tower is set as the analysis subject, and the mean temperature ratio of the mean inlet and outlet water temperature deviation to the mean air wet bulb temperature floating suppression temperature during the operation of the analysis subject is obtained, and the mean temperature ratio of the mean inlet and outlet water temperature deviation to the mean air wet bulb temperature floating suppression temperature during the operation of the analysis subject is marked as WJB;

[0039] Obtain the reciprocating floating frequency of the mean value of the flow floating span deviation corresponding to the internal air flow rate being not within the set flow threshold range and being within the set process threshold range during the operation of the analysis subject, and mark the reciprocating floating frequency of the mean value of the flow floating span deviation corresponding to the internal air flow rate being not within the set flow threshold range and being within the set process threshold range during the operation of the analysis subject as FDP;

[0040] The numerical value ratio of the internal water flow rate exceeding the preset value and the floating reduction span of the fan power consumption when the inlet and outlet water temperature difference is within the set range during the operation of the analysis subject is obtained, and the numerical value ratio of the internal water flow rate exceeding the preset value and the floating reduction span of the fan power consumption when the inlet and outlet water temperature difference is within the set range during the operation of the analysis subject is marked as KDB. It can be understood that the influence of the data unit is not considered when calculating the ratio of data collection, and only the influence of the floating data value is collected and analyzed;

[0041] The above collected data are uniformly marked as real-time performance evaluation information, and substituted into the formula to obtain the real-time performance evaluation coefficient P during the operation of the analysis subject; the specific formula is:

[0042] , where fh1, fh2, and fh3 are the preset proportional coefficients of the corresponding temperature mean ratio, the corresponding flow floating span deviation mean reciprocating floating frequency, and the corresponding span value ratio, respectively, and β is used as the error correction factor, and its value is 1.98;

[0043] Compare the real-time evaluation coefficient P of the running performance during the analysis subject operation with the real-time evaluation coefficient threshold of the running performance:

[0044] If the real-time evaluation coefficient P of the running performance during the operation of the analysis subject exceeds the real-time evaluation coefficient threshold of the running performance, the running performance evaluation of the analysis subject during the real-time operation is determined to be qualified, the current period is marked as a qualified period of the running performance evaluation, a qualified performance evaluation signal is generated and sent to the running performance evaluation center;

[0045] If the real-time evaluation coefficient P of the operating performance during the operation of the analysis subject does not exceed the real-time evaluation coefficient threshold of the operating performance, the operating performance evaluation of the analysis subject during the real-time operation is determined to be unqualified, the current period is marked as an unqualified period of operating performance evaluation, a performance evaluation unqualified signal is generated and sent to the operating performance evaluation center; after receiving the performance evaluation unqualified signal, the performance evaluation center adjusts the operation of the analysis subject and performs operation and maintenance on the equipment of the analysis subject itself;

[0046] After the real-time evaluation of the operating performance is completed and the real-time operating performance evaluation is qualified, a cooling performance evaluation signal is generated and sent to the cooling performance evaluation unit. After receiving the cooling performance evaluation signal, the cooling performance of the analysis subject is evaluated. When the analysis subject is qualified in the operating performance evaluation, the cooling performance evaluation is performed. The operating trend of the analysis subject is inferred through the floating analysis of the cooling performance of the analysis subject. The operation of the analysis subject is controlled through reasonable trend analysis, and the accuracy of the operating performance evaluation is improved at the same time, avoiding abnormal cooling performance trend of the analysis subject when the real-time performance evaluation is qualified, and the accuracy and rationality of the operating performance evaluation cannot be guaranteed; the evaluation efficiency of the performance evaluation center can be further guaranteed through real-time cooling performance trend analysis;

[0047] The operation time period after the analysis subject completes the real-time evaluation of the operation performance is obtained, and it is marked as the cooling performance evaluation period, and the period between the operation start time of the analysis subject and the start time of the cooling performance evaluation period is uniformly marked as the cooling performance reference period;

[0048] Obtain the average increase in the inlet and outlet water temperature difference of the corresponding analysis subject and the average increase in the temperature difference floating span during the temperature difference control of the analysis subject during the cooling performance evaluation period relative to the cooling performance reference period, and calculate the increase value ratio based on the ratio and mark it as the period temperature control information of the analysis subject; obtain the speed value ratio of the maximum decrease speed rise value of the temperature difference floating in the inlet and outlet water temperature difference control stage of the corresponding analysis subject during the cooling performance evaluation period relative to the cooling performance reference period and the maximum speed decrease value of the secondary floating after the temperature difference stops floating, and mark it as the period speed control information of the analysis subject, and compare it with the increase span value ratio threshold and the speed value ratio threshold respectively:

[0049] If the corresponding increase in the average value of the inlet and outlet water temperature difference of the analysis subject during the cooling performance evaluation period relative to the cooling performance reference period and the corresponding increase in the span value ratio of the average value of the temperature difference floating span during the temperature difference control of the analysis subject during the cooling performance evaluation period exceed the increase span value ratio threshold, and the corresponding speed value ratio of the maximum decrease speed of the temperature difference floating in the inlet and outlet water temperature difference control stage of the analysis subject during the cooling performance evaluation period relative to the cooling performance reference period and the maximum speed decrease value of the secondary floating after the temperature difference stops floating exceed the speed value ratio threshold, then it is determined that the cooling performance evaluation of the analysis subject during the cooling performance evaluation period is an efficient operation trend, the current period is marked as an abnormal cooling performance evaluation period, a cooling performance evaluation qualified signal is generated, and the cooling performance evaluation qualified signal is sent to the operation performance evaluation center;

[0050] If, relative to the cooling performance reference period, the corresponding increase in the average value of the inlet and outlet water temperature difference of the analysis subject during the cooling performance evaluation period and the corresponding increase in the average value of the temperature difference floating span during the temperature difference control of the analysis subject do not exceed the increase in the span value ratio threshold, or the corresponding speed value ratio of the maximum decrease speed of the temperature difference floating during the inlet and outlet water temperature difference control stage of the analysis subject during the cooling performance evaluation period and the maximum decrease speed of the secondary floating after the temperature difference stops floating does not exceed the speed value ratio threshold, then the cooling performance evaluation of the analysis subject during the cooling performance evaluation period is determined to be an inefficient operation trend, the current period is marked as a normal cooling performance evaluation period, a cooling performance evaluation failure signal is generated and sent to the operation performance evaluation center; after receiving the cooling performance evaluation failure signal, the performance evaluation center reduces the cooling task of the analysis subject, controls the operating time of the analysis subject, and supervises the operation and maintenance of each component of the analysis subject during this period;

[0051] When the real-time evaluation of the operating performance of the analysis subject is abnormal or the cooling performance evaluation is abnormal, an optimization feasibility evaluation signal is generated and sent to the optimization feasibility evaluation unit. After receiving the optimization feasibility evaluation signal, the optimization feasibility evaluation unit performs an optimization feasibility evaluation on the analysis subject, and accurately evaluates the feasibility of optimizing the operating parameters of the analysis subject when there is a risk in the operation of the analysis subject, so as to make accurate decisions on the operation of the analysis subject, avoid the operation of the analysis subject failing to meet the actual operation requirements, and avoid equipment operation and maintenance when the analysis subject is currently able to operate, resulting in the analysis subject's operating efficiency failing to fit the cooling task progress to the maximum extent;

[0052] The actual water temperature reduction speed increase span and the corresponding deviation span value of the real-time inlet and outlet water temperature difference and the set water temperature difference in the analysis subject are obtained during the control stage of the inlet and outlet water temperature difference, and the optimization progress parameters of the analysis subject are obtained according to the ratio calculation. In this system, only the data values ​​are calculated when the ratio is calculated, and the influence of the value fluctuation is analyzed. The inconsistency of the corresponding data units is ignored.

[0053] The extension time of the real-time control cycle and the shortened value of the interval time of adjacent control cycles in the inlet and outlet water temperature difference control stage during the operation of the analysis subject are obtained, and the control influence parameters of the analysis subject are calculated according to the ratio, and compared with the speed span value ratio threshold and the time value ratio threshold respectively:

[0054] If the actual water temperature reduction speed increase span during the inlet and outlet water temperature difference control stage of the analysis subject, and the speed span value ratio corresponding to the deviation span value between the real-time inlet and outlet water temperature difference and the set water temperature difference exceed the speed span value ratio threshold, and the corresponding value ratio between the extension time of the real-time control cycle and the shortened value of the interval time of adjacent control cycles during the inlet and outlet water temperature difference control stage of the analysis subject during operation exceeds the time value ratio threshold, then the optimization feasibility evaluation of the analysis subject is determined to be qualified, and the current time period is marked as a qualified time period for the optimization feasibility evaluation, an optimization high feasibility signal is generated and sent to the operation performance evaluation center, and after the operation performance evaluation center receives the optimization high feasibility signal, the cooling task amount is not adjusted when the analysis subject performs temperature difference control; wherein the cooling task amount is represented by the inlet and outlet water volume that needs to be cooled;

[0055] If the actual water temperature reduction speed increase span during the analysis subject's inlet and outlet water temperature difference control stage, and the speed span value ratio corresponding to the deviation span value between the real-time inlet and outlet water temperature difference and the set water temperature difference do not exceed the speed span value ratio threshold, or the corresponding value ratio between the extension time of the real-time control cycle and the shortened value of the interval time of adjacent control cycles during the analysis subject's operation exceeds the time value ratio threshold, then the optimization feasibility evaluation of the analysis subject is determined to be unqualified, and the current period is marked as an unqualified period for the optimization feasibility evaluation, an optimization low feasibility signal is generated and sent to the operation performance evaluation center, and after the operation performance evaluation center receives the optimization low feasibility signal, when the analysis subject performs temperature difference control, the current inlet and outlet water are stopped from cooling down and the various components of the analysis subject equipment are inspected and repaired;

[0056] Embodiment 2

[0057] In the previous embodiment, the performance of the cooling tower at various angles is analyzed to ensure the real-time efficiency of the cooling tower and improve the accuracy of decision-making; please refer to Figure 2 As shown, the operation performance evaluation center is communicatively connected with the performance evaluation analysis unit;

[0058] After the performance evaluation of the analysis subject from all angles is completed, the operation performance evaluation center generates a performance evaluation analysis signal and sends the performance evaluation analysis signal to the performance evaluation analysis unit. After receiving the performance evaluation analysis signal, the performance evaluation analysis unit conducts an overall performance evaluation analysis on the analysis subject, so as to improve the accuracy of the operation decision of the analysis subject while performing operation detection on the analysis subject. At the same time, the overall operation performance evaluation can infer the cause of the failure of the analysis subject based on the real-time performance, and specifically distinguish whether the equipment performance is reduced or caused by abnormal human operation, which provides the operation and maintenance direction for the operation stage of the analysis subject, ensures that the analysis subject can be adjusted in a targeted manner when it is abnormal, and improves the stability of cooling operation;

[0059] The non-intersection duration of the time periods corresponding to the qualified time periods of the operating performance evaluation and the abnormal time periods of the cooling performance evaluation within the analysis subject operation period is obtained, and at the same time, the maximum value update speed of the inlet and outlet water temperature difference control span deviation value corresponding to the qualified time periods of the optimization feasibility evaluation and the unqualified time periods of the optimization feasibility evaluation within the analysis subject operation period is obtained, and the non-intersection duration of the time periods corresponding to the abnormal time periods of the operating performance evaluation and the abnormal time periods of the cooling performance evaluation within the analysis subject operation period, and the maximum value update speed of the inlet and outlet water temperature difference control span deviation value corresponding to the qualified time periods of the optimization feasibility evaluation and the unqualified time periods of the optimization feasibility evaluation within the analysis subject operation period are marked as FJ and SD respectively;

[0060] Obtain the proportion of the total duration of the merged period and the operating period corresponding to the overlapping duration of the qualified period of operation performance evaluation and the normal period of cooling performance evaluation in the operating period of the analysis subject, wherein the overlapping duration of the two periods is represented by the time period composed of the earliest moment and the latest moment of the two periods, and the overlapping period is only calculated once without repeated superposition; and mark the proportion of the total duration of the merged period and the operating period corresponding to the overlapping duration of the qualified period of operation performance evaluation and the normal period of cooling performance evaluation in the operating period of the analysis subject as SB;

[0061] The above collected data are uniformly marked as performance evaluation information, and substituted into the formula to obtain the performance evaluation analysis coefficient of the analysis subject; the formula is: , where c1, c2 and c3 are the preset proportional coefficients of the non-intersection duration of the time periods, the maximum value update speed and the total duration of the combined time period and the running time period, respectively, and α is the error correction factor, which is 0.99;

[0062] The performance evaluation analysis coefficients of the analysis subject at each moment in the operation period are numerically counted and connected to construct an evaluation coefficient curve, and the evaluation coefficient curve is analyzed. If the slope of the curve in the evaluation coefficient curve increases infinitely instantaneously and the curve shows a downward trend, the corresponding moment is determined to be a moment of abnormal human operation, and the operation of the equipment is stopped at the moment of abnormal human operation and the uncooled water is removed without operation. At the same time, the execution operation of the current analysis subject is adjusted and the components involved in the current execution operation are checked;

[0063] If the slope of the curve in the evaluation coefficient curve continues to increase and the curve shows a downward trend, the corresponding moment is determined to be the moment of abnormal equipment performance, and the water inlet and outlet are reduced at the moment of abnormal equipment performance. At the same time, the operation and maintenance cycle interval of the analysis subject is shortened, and real-time performance checks are performed on each component of the analysis subject;

[0064] In other cases, the corresponding coefficient values ​​of the evaluation coefficient curve are compared with the thresholds. If they exceed the corresponding coefficient thresholds, it is inferred that the evaluation is qualified. Otherwise, if they do not exceed the corresponding coefficient thresholds, it is inferred that the evaluation is unqualified and targeted adjustments are made.

[0065] A cooling tower operation performance evaluation method based on data analysis, the specific operation performance evaluation method is as follows:

[0066] Step 1: Real-time evaluation of operating performance: Set the cooling tower as the analysis subject, collect real-time performance evaluation information, obtain real-time operating performance evaluation coefficients based on information analysis, and obtain qualified and unqualified operating performance evaluation periods through coefficient comparison;

[0067] Step 2: Cooling performance evaluation: Analyze the cooling performance evaluation period and the cooling performance reference period, obtain the period temperature control information and the period speed control information according to the analysis, and obtain the cooling performance evaluation abnormal period and the cooling performance evaluation normal period by comparing the information;

[0068] Step 3: Optimize the feasibility assessment, obtain the optimization progress parameters and control influence parameters of the analysis subject, and obtain the unqualified period and qualified period of the optimization feasibility assessment based on parameter comparison;

[0069] Step 4: Performance evaluation analysis: obtain the performance evaluation information of the analysis subject, obtain the performance evaluation coefficient according to the performance evaluation information, and construct the evaluation coefficient curve according to the numerical statistics of the performance evaluation coefficient and connect them. If the slope of the curve in the evaluation coefficient curve increases instantly and the curve shows a downward trend, the corresponding moment is determined to be the moment of abnormal human operation; if the slope of the curve in the evaluation coefficient curve continues to increase and the curve shows a downward trend, the corresponding moment is determined to be the moment of abnormal equipment performance;

[0070] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0071] When the present invention is in use, the real-time evaluation unit of operating performance collects real-time performance evaluation information, obtains the real-time evaluation coefficient of operating performance according to information analysis, and obtains the qualified time period of operating performance evaluation and the unqualified time period of operating performance evaluation through coefficient comparison; the cooling performance evaluation unit obtains the time period temperature control information and the time period speed control information according to analysis, and obtains the abnormal cooling performance evaluation time period and the normal cooling performance evaluation time period through information comparison; the optimization feasibility evaluation unit obtains the optimization progress parameter and the control influencing parameter of the analysis subject, and obtains the unqualified time period of optimization feasibility evaluation and the qualified time period of optimization feasibility evaluation according to parameter comparison; the performance evaluation analysis unit obtains the performance evaluation information of the analysis subject, obtains the performance evaluation coefficient according to the performance evaluation information, and constructs an evaluation coefficient curve according to the numerical statistics and connection of the performance evaluation coefficient. If the slope of the curve in the evaluation coefficient curve increases instantaneously and wirelessly and the curve shows a downward trend, the corresponding moment is determined as the abnormal moment of human operation; if the slope of the curve in the evaluation coefficient curve continues to increase and the curve shows a downward trend, the corresponding moment is determined as the abnormal moment of equipment performance.

[0072] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A cooling tower operation performance evaluation system based on data analysis, characterized in that: It includes an operation performance evaluation center, an operation performance real-time evaluation unit, a cooling performance evaluation unit, an optimization feasibility evaluation unit, and a performance evaluation and analysis unit; An operation performance evaluation center is used to generate an operation performance real-time evaluation signal and send the operation performance real-time evaluation signal to the operation performance real-time evaluation unit; The operation performance real-time evaluation unit is used to set the cooling tower as the analysis subject after receiving the operation performance real-time evaluation signal, collect the performance real-time evaluation information, obtain the operation performance real-time evaluation coefficient according to the information analysis, and obtain the operation performance evaluation qualified period and the operation performance evaluation unqualified period by comparing the coefficients; A cooling performance evaluation unit is used to analyze the cooling performance evaluation period and the cooling performance reference period, obtain the period temperature control information and the period speed control information according to the analysis, and obtain the cooling performance evaluation abnormal period and the cooling performance evaluation normal period by information comparison; The optimization feasibility evaluation unit is used to obtain the optimization progress parameters and control influence parameters of the analysis subject, and obtain the unqualified period and qualified period of optimization feasibility evaluation according to the parameter comparison; The performance evaluation analysis unit is used to obtain the performance evaluation information of the analysis subject, obtain the performance evaluation coefficient according to the performance evaluation information, and construct the evaluation coefficient curve according to the numerical statistics of the performance evaluation coefficient and connect them. If the slope of the curve in the evaluation coefficient curve increases infinitely instantaneously and the curve shows a downward trend, the corresponding moment is determined to be the moment of abnormal human operation; if the slope of the curve in the evaluation coefficient curve continues to increase and the curve shows a downward trend, the corresponding moment is determined to be the moment of abnormal equipment performance; the performance evaluation information includes the non-intersection time of the corresponding time periods of abnormal operation performance evaluation and abnormal cooling performance evaluation within the operation time period of the analysis subject, the maximum value update speed of the inlet and outlet water temperature difference control span deviation value corresponding to the qualified time period of optimization feasibility evaluation and the unqualified time period of optimization feasibility evaluation within the operation time period of the analysis subject, and the proportion of the total time of the merged time period and the operation time period corresponding to the overlapping time period of the qualified time period of operation performance evaluation and the normal time period of cooling performance evaluation within the operation time period of the analysis subject.

2. A cooling tower operation performance evaluation system based on data analysis according to claim 1, characterized in that: The real-time performance evaluation information includes analyzing the temperature mean ratio of the mean inlet and outlet water temperature deviation to the air wet-bulb temperature floating suppression temperature mean during the main operation process, analyzing the reciprocating floating frequency of the corresponding flow floating span deviation mean when the internal air flow is not within the set flow threshold range and within the set flow threshold range during the main operation process, and analyzing the span value ratio of the internal water flow exceeding the preset value when the inlet and outlet water temperature difference is within the set range during the main operation process and the floating reduction span of the fan power consumption.

3. A cooling tower operation performance evaluation system based on data analysis according to claim 2, characterized in that: If the real-time evaluation coefficient of the operating performance during the operation of the analysis subject exceeds the real-time evaluation coefficient threshold of the operating performance, the current period is marked as a qualified period for the operating performance evaluation; If the real-time evaluation coefficient of the operating performance during the operation of the analysis subject does not exceed the real-time evaluation coefficient threshold of the operating performance, the current period is marked as a period of unqualified operating performance evaluation.

4. A cooling tower operation performance evaluation system based on data analysis according to claim 1, characterized in that: The cooling performance evaluation period is the operating period after the analysis subject completes the real-time evaluation of the operating performance; the cooling performance reference period is the period between the start time of the operation of the analysis subject and the start time of the cooling performance evaluation period.

5. A cooling tower operation performance evaluation system based on data analysis according to claim 4, characterized in that: Relative to the cooling performance reference period, the temperature control information and speed control information of the cooling performance evaluation period are respectively the increase in the mean value of the inlet and outlet water temperature difference of the corresponding analysis subject and the increase in the mean value of the temperature difference floating span during the temperature difference control of the analysis subject, and the speed value ratio of the maximum reduction speed increase of the temperature difference floating during the inlet and outlet water temperature difference control stage of the corresponding analysis subject and the maximum speed decrease of the secondary floating after the temperature difference stops floating.

6. A cooling tower operation performance evaluation system based on data analysis according to claim 5, characterized in that: If the temperature control information of the time period exceeds the increase span value ratio threshold, and the speed control information of the time period exceeds the speed value ratio threshold, the current time period is marked as an abnormal cooling performance evaluation period; If the temperature control information of the time period does not exceed the increase span value ratio threshold, or the speed control information of the time period does not exceed the speed value ratio threshold, the current time period is marked as a normal cooling performance evaluation period.

7. A cooling tower operation performance evaluation system based on data analysis according to claim 1, characterized in that: The optimization progress parameters and control influencing parameters are respectively the actual water temperature reduction speed improvement span during the analysis of the main body inlet and outlet water temperature difference control stage, the corresponding deviation span value of the real-time inlet and outlet water temperature difference and the set water temperature difference, and the extension time of the real-time control cycle and the shortening value of the interval time between adjacent control cycles during the analysis of the main body operation process.

8. A cooling tower operation performance evaluation system based on data analysis according to claim 7, characterized in that: If the optimization progress parameter exceeds the speed span value ratio threshold, and the control influence parameter exceeds the time value ratio threshold, the current period is marked as a qualified period for optimization feasibility assessment; If the optimization progress parameter does not exceed the speed span value ratio threshold, or the control influence parameter exceeds the time value ratio threshold, the current period is marked as an unqualified period for optimization feasibility assessment.

9. A cooling tower operation performance evaluation method based on data analysis, characterized in that: The steps are as follows: The cooling tower is set as the analysis subject, and the real-time performance evaluation information is collected. The real-time operation performance evaluation coefficient is obtained according to the information analysis, and the qualified operation performance evaluation period and the unqualified operation performance evaluation period are obtained by comparing the coefficients; Analyze the cooling performance evaluation period and the cooling performance reference period, obtain the period temperature control information and the period speed control information according to the analysis, and obtain the cooling performance evaluation abnormal period and the cooling performance evaluation normal period by comparing the information; Obtain the optimization progress parameters and control influence parameters of the analysis subject, and obtain the unqualified period and qualified period of optimization feasibility assessment based on parameter comparison; The performance evaluation information of the analysis subject is obtained, and the performance evaluation coefficient is obtained according to the performance evaluation information. The evaluation coefficient curve is constructed according to the numerical statistics and connections of the performance evaluation coefficient. If the slope of the curve in the evaluation coefficient curve increases infinitely instantaneously and the curve shows a downward trend, the corresponding moment is determined to be the moment of abnormal human operation; if the slope of the curve in the evaluation coefficient curve continues to increase and the curve shows a downward trend, the corresponding moment is determined to be the moment of abnormal equipment performance; the performance evaluation information includes the non-intersection duration of the corresponding time periods of the abnormal operation performance evaluation and the abnormal cooling performance evaluation within the operation period of the analysis subject, the maximum numerical update speed of the inlet and outlet water temperature difference control span deviation value corresponding to the qualified time period of optimization feasibility evaluation and the unqualified time period of optimization feasibility evaluation within the operation period of the analysis subject, and the proportion of the total duration of the merged time period and the operation period corresponding to the overlapping time period of the qualified time period of operation performance evaluation and the normal time period of cooling performance evaluation within the operation period of the analysis subject.

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