Equipment detection method, system and equipment suitable for multiple cooling systems

Abstract

The invention relates to the technical field of equipment detection and monitoring, in particular to an equipment detection method, system and equipment suitable for multiple cooling systems, and the method comprises the steps: constructing a plurality of switching type detection modules which comprise single-medium detection modules and compatible detection modules; determining a to-be-detected cooling system, and obtaining an equipment detection standard of a corresponding cooling medium; constructing a scheduling and detection center, selecting a plurality of switching type detection modules for connection and combination according to the cooling system to be detected, and generating cooling detection configuration; and the cooling detection configuration performs sampling detection on the to-be-detected cooling system, and obtains a cooling equipment detection result according to an equipment detection standard. According to the invention, the problems of compatibility and efficiency of detection of multiple cooling systems in copper production and manufacturing are effectively solved, flexible adaptation and efficient detection of multiple cooling media are realized, and stable operation of the cooling systems and improvement of product quality are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment detection and monitoring, and in particular to an equipment detection method, system and equipment applicable to a multi-cooling system. Background Art

[0002] In modern industrial production, the cooling system is a key link to ensure stable operation of equipment and product quality, especially in the copper production process, the performance of the cooling system directly affects the forming quality and production efficiency of copper. Copper production usually involves high-temperature processing, and a variety of cooling media (such as water, oil, gas, etc.) are required to quickly cool equipment and products to control temperature, reduce deformation and improve material properties. Therefore, multiple cooling systems are widely used in copper manufacturing, and their stability and detection accuracy are crucial to the optimization of the production process.

[0003] However, existing cooling system detection technologies have significant defects. First, traditional detection methods are usually designed for a single cooling medium and are not compatible with the detection requirements of multiple media, resulting in the need to configure multiple sets of detection equipment in the application of multiple cooling systems, which increases costs and complexity. Second, existing technologies lack intelligent scheduling and configuration capabilities and cannot dynamically adjust detection modules according to different cooling systems, resulting in low detection efficiency and insufficient adaptability.

[0004] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present disclosure, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art known to those skilled in the art. Summary of the invention

[0005] The present invention provides an equipment detection method, system and equipment applicable to multiple cooling systems, which can effectively solve the problems in the background technology.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is: A device detection method applicable to multiple cooling systems, the method comprising: Constructing a plurality of exchangeable detection modules, wherein the exchangeable detection modules include a single medium detection module and a compatible detection module; Determine the cooling system to be tested and obtain the equipment testing standards for the corresponding cooling medium; Constructing a scheduling and detection center, selecting a number of the exchangeable detection modules for connection and combination according to the cooling system to be detected, and generating a cooling detection configuration; The cooling detection configuration performs sampling detection on the cooling system to be detected, and obtains cooling equipment detection results according to the equipment detection standard.

[0007] Furthermore, multiple exchange detection modules are constructed, including: Collect cooling detection process information, obtain several cooling detection process chains, and extract several types of cooling media, and construct single medium detection modules according to the several cooling media, wherein the single medium detection modules correspond to the cooling media one by one; The cooling detection process chains are divided into sections, the detection requirements and process characteristics of the detection sections are identified and integrated, compatible process sections are obtained, and compatible detection modules are constructed according to the compatible process sections.

[0008] Furthermore, a plurality of the exchangeable detection modules are selected according to the cooling system to be detected to be connected and combined to generate a cooling detection configuration, including: Determine the cooling medium according to the cooling system to be detected, and match the single medium detection module; According to the cooling medium matching the cooling detection process chain, a plurality of detection sections are obtained; Acquire a cooling equipment inspection standard, match inspection parameters of the plurality of inspection sections respectively according to the cooling equipment inspection standard, and acquire a plurality of compatible inspection modules; Sorting a plurality of the compatible detection modules, selecting the compatible detection module according to the sorting result, combining the single medium detection module with the compatible detection module, and generating a cooling detection configuration; Among them, each detection section corresponds to an exchangeable detection module.

[0009] Furthermore, the dispatching and testing center performs parallel testing on at least two cooling systems to be tested, including: Collecting a number of the cooling systems to be tested, respectively obtaining a number of the testing sections, and matching the cooling testing configuration; Generating a detection time axis respectively according to the plurality of detection sections, performing parallel detection on the plurality of cooling systems to be detected according to the detection time axis, and allocating the compatible detection modules according to the detection time axis; Extract a number of overlapping compatible detection modules, perform peak-shifting processing on the number of overlapping compatible detection modules, obtain a peak-shifting detection time axis, and perform parallel detection on the number of cooling systems to be detected according to the peak-shifting detection time axis.

[0010] Furthermore, the cooling detection configuration performs sampling detection on the cooling system to be detected, and obtains cooling equipment detection results according to the equipment detection standard, including: Divide the cooling system to be inspected into sections according to the cooling inspection process information to obtain a plurality of inspection sections; Collect historical cooling detection information, assign weights to several detection sections according to the historical cooling detection information, and obtain stage weights; Building a detection information database, and obtaining equipment detection standards according to the detection information database; The cooling system to be detected is detected according to the stage weight and the equipment detection standard, and the cooling equipment detection result is output.

[0011] Furthermore, a detection information database is constructed, including: Collect the factory rated life of the cooling equipment and obtain a set of historical equipment life cycles of the cooling equipment; Acquire a number of equipment life deviation values ​​according to the factory rated life and the historical equipment life cycle set, wherein the equipment life deviation values ​​correspond one-to-one to the elements in the historical equipment life cycle set; The device deviation life values ​​are combined and indexed as device detection standards with the device life cycles, and the device detection standards are dynamically updated according to real-time monitoring data to build a detection information database.

[0012] Furthermore, weights are assigned to the plurality of detection sections according to historical cooling detection information to obtain stage weights, including: Based on historical cooling detection information, an initial weight is assigned to the detection section, and an equipment evaluation is performed on the cooling system to be detected according to the initial weight to obtain an initial evaluation result; S1: adjusting the weight of any of the inspection sections, keeping the initial weights of the other inspection sections, re-evaluating the equipment to obtain a re-evaluation result, and comparing it with the initial evaluation result to obtain an evaluation comparison result; Repeat step S1 until all the inspection stages have undergone weight adjustment, and assign weights according to the proportions of several evaluation and comparison results to obtain stage weights.

[0013] Furthermore, the equipment testing standards are dynamically updated based on real-time monitoring data, including: A life deviation prediction model is constructed using a machine learning algorithm, and a time life subset and a physical life subset are obtained based on the historical equipment life cycle set; Dividing the temporal life subset and the physical life subset into a training set and a validation set, training and evaluating the life according to the training set and the validation set, and obtaining a life deviation prediction result; According to the comparison between the life deviation prediction result and the equipment detection standard, the equipment detection standard is dynamically updated.

[0014] An equipment detection system applicable to multiple cooling systems, the system comprising: An exchangeable detection module construction module is used to construct a plurality of exchangeable detection modules, wherein the exchangeable detection modules include a single medium detection module and a compatible detection module; The cooling system determination and standard acquisition module determines the cooling system to be tested and obtains the equipment testing standard of the corresponding cooling medium; A scheduling and detection center construction module is used to construct a scheduling and detection center, select a number of the exchangeable detection modules according to the cooling system to be detected, connect and combine them, and generate a cooling detection configuration; A cooling detection configuration execution module, wherein the cooling detection configuration performs sampling detection on the cooling system to be detected, and obtains a cooling equipment detection result according to the equipment detection standard.

[0015] A device for detecting equipment applicable to multiple cooling systems, wherein the device applies any of the device detection methods applicable to multiple cooling systems.

[0016] The technical solution of the present invention can achieve the following technical effects: It effectively solves the compatibility and efficiency issues of multiple cooling system detection in copper production and manufacturing, realizes flexible adaptation and efficient detection of various cooling media, ensures the stable operation of the cooling system and improved product quality, while reducing equipment costs and maintenance difficulties, with significant economic benefits and industrial application value.

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A schematic diagram of a flow chart of a method for detecting equipment applicable to multiple cooling systems; Figure 2 is a schematic diagram of an architecture for implementing one; Figure 3 A schematic diagram of the structure for constructing multiple exchangeable detection modules; Figure 4 A schematic diagram of a process for obtaining cooling equipment test results; Figure 5 Schematic diagram of the process of building a detection information database. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present invention will be described clearly and completely 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, rather than all the embodiments.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0022] Embodiment 1; like Figure 1 and 2 As shown, the present application provides a device detection method applicable to multiple cooling systems, the method comprising: S10: construct multiple exchangeable detection modules, where the exchangeable detection modules include a single medium detection module and a compatible detection module; S20: Determine the cooling system to be tested and obtain the equipment testing standard corresponding to the cooling medium; S30: constructing a scheduling and detection center, selecting a number of exchangeable detection modules for connection and combination according to the cooling system to be detected, and generating a cooling detection configuration; S40: The cooling detection configuration performs sampling detection on the cooling system to be detected, and obtains the cooling equipment detection result according to the equipment detection standard.

[0023] Specifically, multiple exchangeable detection modules are constructed, each of which consists of a single medium detection module and a compatible detection module. The single medium detection module detects a certain cooling medium and adopts a design that corresponds to the type of cooling medium. The compatible detection module is used to handle the detection scenarios where different cooling media coexist, and can be compatible with the detection requirements of multiple cooling media. In copper production, if cooling water and cooling oil are used at the same time, the temperature, flow rate and other parameters of water and oil can be monitored separately through the single medium detection module to ensure the detection accuracy of each cooling medium. At the same time, the compatible detection module will conduct comprehensive detection of the water-oil mixed cooling environment to ensure the compatibility and effectiveness of different cooling media. Before starting the detection, it is necessary to first analyze the cooling system to be detected, clarify its type, and obtain the equipment detection standards for the corresponding cooling medium. The following are the specific steps: You need to select a cooling system from multiple cooling systems to be tested, which may be based on the actual working conditions of a copper production line. This step involves system pre-setting, selection of cooling medium, etc.; According to the type of cooling medium of the cooling system to be tested, obtain the corresponding equipment inspection standards. The equipment inspection standards include temperature, flow, pressure, cooling efficiency and other indicators. The standards can be obtained through analysis of historical inspection data, process characteristics of cooling medium and other means. According to the specific needs of the cooling system to be tested, the scheduling and testing center will select suitable exchangeable detection modules for connection and combination, and finally generate a cooling detection configuration, which samples and detects the cooling system and outputs the results according to the equipment detection standards; according to the cooling medium type of the cooling system to be tested, the system first matches the corresponding single-medium detection module, and at the same time, according to the selected cooling medium, the system automatically matches the corresponding cooling detection process chain and identifies the related detection sections. Each section needs to be customized according to the different characteristics of the cooling medium. Each detection section may correspond to multiple compatible detection modules. The scheduling and testing center will automatically select and sort compatible detection modules according to the process characteristics of the selected detection section, and combine them with the single-medium detection module to generate a complete cooling detection configuration; after the cooling detection configuration is generated, the actual detection work can be carried out. Through sampling detection, the system evaluates the cooling system to be tested according to the equipment detection standards and outputs the cooling equipment detection results.

[0024] The present invention realizes the compatibility and adaptation of different cooling systems by constructing a flexible exchangeable detection module, generates the most suitable cooling detection configuration through the optimized scheduling of the scheduling and detection center, and ensures that the equipment detection can be completed efficiently and accurately in the environment of multiple cooling media and process chains.

[0025] Further, if Figure 3 As shown, multiple exchange detection modules are constructed, including: Collect cooling detection process information, obtain several cooling detection process chains, and extract several types of cooling media. According to the several cooling media, construct single medium detection modules respectively, and the single medium detection modules correspond to the cooling media one by one; Several cooling inspection process chains are divided into sections, the inspection requirements and process characteristics of several inspection sections are identified and integrated, compatible process sections are obtained, and compatible inspection modules are constructed based on the compatible process sections.

[0026] In order to meet the detection requirements of various cooling systems, this embodiment first realizes equipment detection by constructing multiple exchangeable detection modules. These exchangeable detection modules include two types of modules: single medium detection module, which is specially designed for different types of cooling media (such as water, oil, gas, etc.). Each cooling medium has different heat exchange characteristics and detection requirements, so each single medium detection module corresponds to a specific cooling medium one by one; compatible detection module, compatible detection module is designed to support a variety of different process section combinations, and can adapt to the detection requirements of multiple cooling media. The compatible detection module can be flexibly configured according to the required detection process through multi-functional sensors and automatic control systems to meet the requirements of different cooling process sections; in this way, the detection requirements of different cooling systems can be completed by combining different single medium detection modules and compatible detection modules, thereby providing a highly flexible and efficient detection system. During the implementation process, it is necessary to divide the cooling system to be detected into sections according to the cooling detection process information. The specific steps include: by analyzing the working principles and historical detection data of different cooling systems, extracting the key process sections in the cooling process, and defining corresponding detection tasks and parameters for each process section, which may include important parameters such as coolant flow, temperature change, cooling efficiency, etc.; determining the cooling medium used by the cooling system to be detected, for example, water cooling, oil cooling or gas cooling, and selecting a suitable single medium detection module according to the characteristics of each cooling medium. For example, for an oil cooling system, special attention should be paid to the degree of oil contamination and temperature change, while a water cooling system focuses on detecting the flow rate and heat exchange efficiency of the water flow. According to the type of cooling medium of the cooling system to be detected, a matching single medium detection module is selected. The selection of the single medium detection module is based on the medium characteristics and working conditions of the cooling system to ensure that the selected module can efficiently and accurately detect the corresponding cooling system. In order to improve the compatibility of the detection system, the division of the process section should not only consider the characteristics of each cooling medium, but also integrate multiple detection requirements. In this way, the equipment detection method provided in this embodiment can flexibly adjust the detection module and process chain configuration according to the needs of different cooling systems, thereby achieving more efficient and intelligent equipment detection.

[0027] Specifically, a plurality of exchangeable detection modules are selected according to the cooling system to be detected for connection and combination to generate a cooling detection configuration, including: Determine the cooling medium according to the cooling system to be tested and match the single medium detection module; Match the cooling test process chain according to the cooling medium and obtain several test sections; Acquire cooling equipment inspection standards, match inspection parameters for several inspection sections according to the cooling equipment inspection standards, and acquire several compatible inspection modules; Sorting a number of compatible detection modules, selecting a compatible detection module according to the sorting result, combining the single medium detection module with the compatible detection module, and generating a cooling detection configuration; Among them, each detection section corresponds to an exchangeable detection module.

[0028] In this embodiment, first, the cooling medium to be used is determined according to the type of cooling system to be tested. According to the different requirements of the copper material production process, the cooling system may use water cooling, oil cooling or other special cooling media. After the cooling medium is determined, the corresponding cooling detection process chain is matched according to the cooling medium. Each cooling process chain usually includes multiple detection sections, and each section corresponds to different detection requirements and parameters; for example, for a water cooling system, the cooling process chain may include a temperature detection section, a flow detection section, a pressure detection section, etc. By matching the cooling detection process chain, the system can obtain multiple detection sections and automatically select an appropriate detection section according to the requirements of the system to be tested; next, the system will obtain the detection standards of the cooling equipment, which usually include each detection section The required standard parameters, such as temperature range, flow range, pressure range, etc., can be obtained by acquiring the cooling equipment detection standards, and the system can match the parameters of each detection section to generate a compatible detection module; according to the above steps, the system will select an exchangeable detection module suitable for the cooling system to be detected, and connect and combine these modules according to the detection requirements to generate a final cooling detection configuration; this configuration can meet all detection requirements of the cooling system to be detected and ensure the compatibility of each detection section; in order to ensure the efficient use of the detection module, the present invention also includes a sorting process for multiple detection modules. By sorting the detection modules, the system can perform detection at the optimal time and sequence to avoid resource conflicts or detection delays due to the simultaneous use of multiple detection modules.

[0029] Furthermore, the dispatching and testing center performs parallel testing on at least two cooling systems to be tested, including: Collect several cooling systems to be tested, obtain several testing sections respectively, and match the cooling test configuration; Generate a detection time axis according to a number of detection sections, perform parallel detection on a number of cooling systems to be detected according to the detection time axis, and allocate compatible detection modules according to the detection time axis; Extract a number of overlapping compatible detection modules, perform peak-shifting processing on the overlapping compatible detection modules, obtain a peak-shifting detection time axis, and perform parallel detection on a number of cooling systems to be detected according to the peak-shifting detection time axis.

[0030] As the preferred implementation method mentioned above, specifically, first, the dispatching and testing center needs to collect basic information of multiple cooling systems to be tested. Each cooling system to be tested will generate a cooling test configuration file containing specific section requirements according to its type and working environment characteristics. The configuration file includes the section division information, test standards, measurement points, test frequency, etc. of the cooling system. The dispatching and testing center will automatically generate a corresponding test section list based on the type, section and test requirements of the cooling system to be tested, and allocate a special exchangeable test module to each section. The test module of each section is consistent with the working environment of the cooling system. Closely match to ensure the accuracy and reliability of detection; after multiple cooling systems to be detected are ready, the scheduling and testing center will generate an independent detection timeline for each cooling system to be detected. This timeline lists the detection time points of each section, and takes into account the detection time of each section and the mutual influence between sections, and reasonably arranges the order of detection. The parallel detection of multiple cooling systems requires special attention to the allocation and scheduling of system resources. In order to ensure the detection efficiency of each cooling system, the scheduling and testing center will reasonably arrange the detection sections of each cooling system according to the detection timeline, and handle possible resource conflicts in a staggered manner. Specifically, the staggered processing process includes the following steps: the scheduling center analyzes the time arrangement of the detection section and identifies the section with module conflicts; by adjusting the task order on the detection timeline, avoid simultaneous detection of conflicting sections; through staggered arrangements, the utilization rate of system resources can be improved, while ensuring the accuracy of detection, the overall detection cycle can be shortened to the maximum extent.

[0031] Further, if Figure 4 As shown, the cooling test configuration performs sampling test on the cooling system to be tested, and obtains the cooling equipment test results according to the equipment test standards, including: S41: Divide the cooling system to be inspected into sections according to the cooling inspection process information, and obtain a number of inspection sections; S42: Collect historical cooling detection information, assign weights to several detection sections according to the historical cooling detection information, and obtain stage weights; S43: Building a detection information database, and obtaining equipment detection standards according to the detection information database; S44: Inspect the cooling system to be inspected according to the stage weight and the equipment inspection standard, and output the cooling equipment inspection result.

[0032] As a preferred embodiment, firstly, it is necessary to collect the cooling detection process information of the cooling system to be detected. The cooling detection process information includes but is not limited to parameters such as the type of cooling medium, flow rate, pressure, temperature change, and heat exchange efficiency. This information can be obtained in real time from various links of the cooling system through sensors, data acquisition modules and other equipment. Next, based on the collected cooling detection process information, the cooling system is divided into sections. The cooling system usually includes multiple sections, such as a temperature control section, a heat exchange section, a coolant circulation section, etc. The operation of each section will affect the overall cooling effect. Therefore, it is necessary to evaluate the detection of each section separately. In order to further improve the accuracy of cooling equipment detection, this embodiment also introduces a historical The collection and weighting mechanism of historical cooling detection information. Historical cooling detection information may include the operating data, maintenance records, performance evaluation results, etc. of the cooling system in the past period of time. These historical data can help analyze the performance of the cooling system under different working conditions and identify its possible weaknesses and potential problems. For example, if a cooling system is found to have large temperature fluctuations in the temperature control section during past detections, a higher weight can be assigned to the temperature control section through historical data to ensure more detailed monitoring of the section in subsequent detections. The weighting process can identify the detection sections that have a greater impact on system performance by analyzing trends in historical data, and increase the detection frequency and accuracy of these sections in a targeted manner. The specific implementation of weight allocation includes the following steps: based on historical cooling detection information, allocating initial weights to each detection section; determining the initial evaluation results through preliminary evaluation of the cooling system to be detected; adjusting the weight of each detection section, and optimizing the weight allocation by comparing the initial evaluation and re-evaluation results, repeating the adjustment process until the weight allocation of all detection sections is optimized, ensuring the detection accuracy of each section, in order to enhance the accuracy and real-time performance of the detection standard, further by constructing a detection information database, and dynamically updating it based on real-time monitoring data, the detection information database is used to store important information such as the factory rated life of the cooling equipment, the historical equipment life cycle, and the equipment life deviation. The dynamically updated equipment detection standard will be applied to the detection process of the cooling equipment, and the cooling system will be tested in detail according to the updated standard, and the detection results of the cooling equipment will be output, and the detection results will not only include the real-time data of each section, but also the overall operation status evaluation of the equipment. In the preferred embodiment of the present invention, the detection information database is closely integrated with the real-time monitoring system, and the data acquisition and analysis process has a high degree of automation, especially when multiple cooling systems are detected in parallel, the system can quickly adjust the detection parameters according to the real-time monitoring data, and reasonably allocate detection resources between each section. Through the collection of historical cooling detection information, weight allocation, construction of detection information database and dynamic update mechanism, the accuracy and real-time performance of cooling equipment detection are significantly improved.The preferred solution in the implementation method combines intelligent data analysis and dynamic adjustment mechanisms while ensuring detection efficiency, providing reliable guarantees for the efficient operation of complex cooling systems.

[0033] Further, if Figure 5 As shown, a detection information database is constructed, including: S431: Collect the factory rated life of the cooling equipment and obtain a historical equipment life cycle set of the cooling equipment; S432: obtaining a number of equipment life deviation values ​​according to the factory rated life and the historical equipment life cycle set, wherein the equipment life deviation values ​​correspond one to one to the elements in the historical equipment life cycle set; S433: Combining several equipment deviation life values ​​as equipment detection standards with several equipment life cycles for indexing, dynamically updating the equipment detection standards according to real-time monitoring data, and constructing a detection information database.

[0034] As a preferred embodiment, firstly, during the detection process, it is necessary to collect the factory rated life of each cooling device, which reflects the expected service life of the device under standard working conditions. The rated life, as an important reference indicator for the use of the equipment, is the basis for subsequent detection data evaluation and life prediction. In addition, it is also necessary to collect the historical life cycle data of the cooling equipment. This data can be obtained through the real-time monitoring results of the equipment at different use stages, including the operating time of the equipment during actual operation, the use of cooling medium, frequent fault records, etc. These historical data will help analyze whether the equipment is operating according to its expected life and identify potential deviations or anomalies. After collecting the factory rated life of the cooling equipment and the historical equipment life cycle data After the combination, the next step is to calculate the deviation value of the equipment life. The equipment life deviation value refers to the gap between the actual operating life and the rated life, which can reflect whether the equipment is working normally and whether it has entered the decline period in advance. In this way, the system can generate a set of data for the life deviation of each device, which will become an important basis for evaluating the current status and future life of the equipment. After calculating the life deviation value, the system combines these values ​​with the historical equipment life cycle set and indexes them. Each life deviation value will correspond to the actual operation record of the equipment for subsequent data retrieval and update. This combined index can not only classify different equipment, but also facilitate and quickly query the historical operation of the equipment. Through the above steps, the system can dynamically update the equipment inspection standards based on the equipment life deviation value and historical life cycle data. Specifically, when the equipment life deviation value exceeds the preset threshold, the system will automatically adjust the inspection standards of the equipment, including inspection frequency, inspection parameters, etc.

[0035] Furthermore, according to the historical cooling test information, weights are assigned to several test sections to obtain stage weights, including: Based on historical cooling detection information, an initial weight is assigned to the detection section, and an equipment evaluation is performed on the cooling system to be detected according to the initial weight to obtain an initial evaluation result; S1: Adjust the weight of any inspection section, keep the initial weights of the other inspection sections, conduct equipment evaluation again to obtain the re-evaluation results, and compare them with the initial evaluation results to obtain the evaluation comparison results; Repeat step S1 until all inspection stages have undergone weight adjustment, assign weights based on the proportions of several evaluation and comparison results, and obtain stage weights.

[0036] As a preferred embodiment of the above, it is necessary to first collect a large amount of historical cooling detection information, and build an initial weight distribution model based on this. The data acquisition method includes real-time monitoring data of sensors, equipment maintenance records, production logs, etc. According to the cooling process chain, the detection process of the cooling system is divided into multiple sections, and each detection section corresponds to specific cooling medium characteristics and detection indicators. Through statistical analysis methods, such as based on the mean method or empirical model, an initial weight is assigned to each detection section. The initial weight reflects the importance of each section in the overall detection process; equipment evaluation is performed based on the initial weight to determine the overall performance of the cooling system. In order to optimize the detection weight, it is necessary to dynamically adjust the weight of each detection section and re-evaluate the cooling system performance; after all detection sections have been weighted, all re-evaluation results are counted to calculate the final stage weight. This embodiment dynamically adjusts each detection section of the cooling system to optimize the detection process. Through the steps of initial evaluation, weight adjustment and re-evaluation, accurate stage weights are finally obtained to improve detection accuracy.

[0037] Furthermore, the equipment testing standards are dynamically updated based on real-time monitoring data, including: A life deviation prediction model is constructed using a machine learning algorithm, and a temporal life subset and a physical life subset are obtained based on a historical equipment life cycle set; The time life subset and the physical life subset are divided into a training set and a validation set, and the life is trained and evaluated according to the training set and the validation set to obtain the life deviation prediction result; By comparing the life deviation prediction results with the equipment inspection standards, the equipment inspection standards are dynamically updated.

[0038] As a preferred embodiment of the above embodiment, the construction of the life deviation prediction model is based on the historical equipment life cycle data of the cooling equipment. These historical data usually contain information on the equipment's operating hours, fault records, maintenance records, environmental factors, etc. Through in-depth analysis of these data, a machine learning algorithm is used to model the life deviation, thereby realizing the prediction of the future operating status of the equipment. First, the system needs to obtain relevant data of the equipment through sensors, historical record systems and other devices; after obtaining the above data, select the appropriate machine learning algorithm to model the life deviation; based on historical data, divide the life cycle of the equipment into training set and validation set for machine learning training; based on the trained model, when the equipment enters a new operation cycle, the system will automatically input real-time monitoring data and calculate the life deviation value of the equipment through the trained life deviation prediction model. These deviation values ​​can reflect whether the equipment is currently within the normal operating range and whether there is a risk of premature failure. Among them, the time life subset is mainly calculated based on the actual operating time of the equipment; the physical life subset focuses on the physical state assessment of the equipment during operation; according to the calculation results of the life deviation prediction model and the life subset, the system will dynamically adjust the detection standards of the cooling equipment; the adjustment will be based on the real-time operating status and historical data of the equipment to ensure that the equipment can be detected in a timely and accurate manner.

[0039] Embodiment 2: Based on the same inventive concept as the device detection method applicable to multiple cooling systems in the aforementioned embodiment, the present invention further provides a device detection system applicable to multiple cooling systems, the system comprising: An exchangeable detection module construction module is used to construct a plurality of exchangeable detection modules, wherein the exchangeable detection modules include a single medium detection module and a compatible detection module; The cooling system determination and standard acquisition module determines the cooling system to be tested and obtains the equipment testing standards for the corresponding cooling medium; The scheduling and detection center construction module constructs the scheduling and detection center, selects a number of exchangeable detection modules for connection and combination according to the cooling system to be detected, and generates a cooling detection configuration; The cooling detection configuration execution module performs sampling detection on the cooling system to be detected, and obtains the cooling equipment detection result according to the equipment detection standard.

[0040] The above-mentioned adjustment system in the present invention can effectively realize an equipment detection method applicable to multiple cooling systems, and the technical effects that can be achieved are as described in the above-mentioned embodiments, which will not be repeated here.

[0041] Embodiment three; Based on the same inventive concept as the device detection method applicable to multiple cooling systems in the aforementioned embodiment, the present invention also provides a device detection device applicable to multiple cooling systems, and the device applies any device detection method applicable to multiple cooling systems.

[0042] Similarly, the above-mentioned device in the present invention can also effectively implement an equipment detection method applicable to multiple cooling systems. The technical effects that can be achieved are as described in the above-mentioned embodiments and will not be repeated here.

[0043] Although the present application has been described in conjunction with specific features and embodiments thereof, it is obvious that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present application as defined therein, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A device detection method applicable to multiple cooling systems, characterized in that: The method comprises: Constructing a plurality of exchangeable detection modules, wherein the exchangeable detection modules include a single medium detection module and a compatible detection module; Determine the cooling system to be tested and obtain the equipment testing standards for the corresponding cooling medium; Constructing a scheduling and detection center, selecting a number of the exchangeable detection modules for connection and combination according to the cooling system to be detected, and generating a cooling detection configuration; The cooling detection configuration performs sampling detection on the cooling system to be detected, and obtains cooling equipment detection results according to the equipment detection standard.

2. The device detection method applicable to multiple cooling systems according to claim 1, characterized in that: Build multiple exchangeable detection modules, including: Collect cooling detection process information, obtain several cooling detection process chains, and extract several types of cooling media, and construct single medium detection modules according to the several cooling media, wherein the single medium detection modules correspond to the cooling media one by one; The cooling detection process chains are divided into sections, the detection requirements and process characteristics of the detection sections are identified and integrated, compatible process sections are obtained, and compatible detection modules are constructed according to the compatible process sections.

3. The device detection method applicable to multiple cooling systems according to claim 2, characterized in that: According to the cooling system to be detected, a plurality of the exchangeable detection modules are selected for connection and combination to generate a cooling detection configuration, including: Determine the cooling medium according to the cooling system to be detected, and match the single medium detection module; According to the cooling medium matching the cooling detection process chain, a plurality of detection sections are obtained; Acquire a cooling equipment inspection standard, match inspection parameters of the plurality of inspection sections respectively according to the cooling equipment inspection standard, and acquire a plurality of compatible inspection modules; Sorting a plurality of the compatible detection modules, selecting the compatible detection module according to the sorting result, combining the single medium detection module with the compatible detection module, and generating a cooling detection configuration; Among them, each detection section corresponds to an exchangeable detection module.

4. The device detection method applicable to multiple cooling systems according to claim 3, characterized in that: The dispatching and testing center conducts parallel testing on at least two cooling systems to be tested, including: Collecting a number of the cooling systems to be tested, respectively obtaining a number of the testing sections, and matching the cooling testing configuration; Generating a detection time axis respectively according to the plurality of detection sections, performing parallel detection on the plurality of cooling systems to be detected according to the detection time axis, and allocating the compatible detection modules according to the detection time axis; Extract a number of overlapping compatible detection modules, perform peak-shifting processing on the number of overlapping compatible detection modules, obtain a peak-shifting detection time axis, and perform parallel detection on the number of cooling systems to be detected according to the peak-shifting detection time axis.

5. The device detection method applicable to multiple cooling systems according to claim 1, characterized in that: The cooling detection configuration performs sampling detection on the cooling system to be detected, and obtains the cooling equipment detection result according to the equipment detection standard, including: Divide the cooling system to be inspected into sections according to the cooling inspection process information to obtain a plurality of inspection sections; Collect historical cooling detection information, assign weights to several detection sections according to the historical cooling detection information, and obtain stage weights; Building a detection information database, and obtaining equipment detection standards according to the detection information database; The cooling system to be detected is detected according to the stage weight and the equipment detection standard, and the cooling equipment detection result is output.

6. The device detection method applicable to multiple cooling systems according to claim 5, characterized in that: Build a detection information database, including: Collect the factory rated life of the cooling equipment and obtain a set of historical equipment life cycles of the cooling equipment; Acquire a number of equipment life deviation values ​​according to the factory rated life and the historical equipment life cycle set, wherein the equipment life deviation values ​​correspond one-to-one to the elements in the historical equipment life cycle set; The device deviation life values ​​are combined and indexed as device detection standards with the device life cycles, and the device detection standards are dynamically updated according to real-time monitoring data to build a detection information database.

7. The device detection method applicable to multiple cooling systems according to claim 6, characterized in that: According to the historical cooling detection information, weights are assigned to the detection sections to obtain stage weights, including: Based on historical cooling detection information, an initial weight is assigned to the detection section, and an equipment evaluation is performed on the cooling system to be detected according to the initial weight to obtain an initial evaluation result; S1: adjusting the weight of any of the inspection sections, keeping the initial weights of the other inspection sections, re-evaluating the equipment to obtain a re-evaluation result, and comparing it with the initial evaluation result to obtain an evaluation comparison result; Repeat step S1 until all the inspection stages have undergone weight adjustment, and assign weights according to the proportions of several evaluation and comparison results to obtain stage weights.

8. The device detection method applicable to multiple cooling systems according to claim 6, characterized in that: Dynamically update equipment testing standards based on real-time monitoring data, including: A life deviation prediction model is constructed using a machine learning algorithm, and a time life subset and a physical life subset are obtained based on the historical equipment life cycle set; Dividing the temporal life subset and the physical life subset into a training set and a validation set, training and evaluating the life according to the training set and the validation set, and obtaining a life deviation prediction result; According to the comparison between the life deviation prediction result and the equipment detection standard, the equipment detection standard is dynamically updated.

9. An equipment detection system applicable to multiple cooling systems, characterized in that: The system comprises: An exchangeable detection module construction module is used to construct a plurality of exchangeable detection modules, wherein the exchangeable detection modules include a single medium detection module and a compatible detection module; The cooling system determination and standard acquisition module determines the cooling system to be tested and obtains the equipment testing standard of the corresponding cooling medium; A scheduling and detection center construction module is used to construct a scheduling and detection center, select a number of the exchangeable detection modules according to the cooling system to be detected, connect and combine them, and generate a cooling detection configuration; A cooling detection configuration execution module, wherein the cooling detection configuration performs sampling detection on the cooling system to be detected, and obtains a cooling equipment detection result according to the equipment detection standard.

10. An equipment detection device suitable for multiple cooling systems, characterized in that: The device applies the device detection method applicable to multiple cooling systems as described in any one of claims 1-8.

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