Simulation test method and simulation device for main ventilator
By simulating the working state of the main ventilation fan and combining it with blade motion characteristic analysis, mechanical vibration and noise signals are acquired and analyzed. A reference information group is established, and the time interval of abnormal vibration is determined. This solves the problem of early warning stall and realizes early warning and safety improvement of the main ventilation fan.
Patent Information
- Application Number
- CN202511425140.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-30
- Publication Date
- 2026-01-20
AI Technical Summary
Existing technologies are insufficient to provide early warning of stall in main ventilation fans, resulting in stalls that are already severe or even reach the level of surge when they occur, leading to a delay in intervention measures.
By simulating the actual operation of the main ventilation fan and combining it with the analysis of blade motion characteristics, mechanical vibration signals and noise signals under normal and test conditions are obtained. A basic and test reference information group is established, blade vibration state parameters are analyzed, abnormal vibration time intervals are determined, and content is extracted using signal indicators to achieve early warning.
It can detect abnormalities at the very beginning of a stall, shorten the time required for intervention measures, prevent the stall from developing into a surge, and improve the safety and efficiency of the ventilation fan.
Smart Images
Figure CN121363547A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of simulation testing, in particular to a main ventilator simulation testing method and simulation device. BACKGROUND
[0002] The main ventilator is the core equipment of the ventilation system in the fields of mines, tunnels, large underground engineering, etc., and its performance directly determines the ventilation efficiency, safety production and energy consumption level. In the actual use process of the main ventilator, an important abnormal condition is stall, which refers to that due to the changes of flow velocity, attack angle and other parameters, the fluid flowing around the blades of the rotating machine cannot maintain the attached flow on the blade surface, and then a low-speed, turbulent vortex region is formed on the back of the blade, which directly affects the stability of the blade and the internal pressure distribution, and even causes surge in severe cases.
[0003] For stall analysis, the current main method is to collect vibration signals by using acceleration sensors (installed on the casing and bearing seat) and to combine noise signals collected by a sound level meter for combined analysis. This analysis method has the disadvantage of lacking a clear "marker frequency" or "characteristic peak", making it difficult to establish an effective early warning threshold, which leads to the fact that the stall condition has been serious when the stall is discovered, and even reaches the degree of causing surge. At this time, there is a lag in taking intervention measures. SUMMARY
[0004] The present application provides a main ventilator simulation testing method and simulation device, which obtains signal indications when stall occurs by simulating the actual work of the main ventilator and combining blade motion characteristic analysis, so as to shorten the discovery time of stall and the implementation time of intervention measures.
[0005] The above-mentioned object of the present application is achieved by the following technical solutions: In a first aspect, the present application provides a main ventilator simulation testing method, comprising: driving the main ventilator into a normal working state, obtaining normal mechanical vibration signals and normal noise signals of the main ventilator, and using the normal mechanical vibration signals and the normal noise signals to establish a basic reference information group, each basic reference information group comprising a group of normal mechanical vibration signals and a group of normal noise signals; driving the main ventilator into a test working state, obtaining test mechanical vibration signals and test noise signals of the main ventilator, and using the test mechanical vibration signals and the test noise signals to establish a test reference information group, each test reference information group comprising a group of test mechanical vibration signals and a group of test noise signals; obtaining a blade vibration state parameter group of the main ventilator; analyzing the blade vibration state parameter group of the main ventilator to obtain an abnormal vibration time interval; The test reference information set is extracted using the abnormal vibration time interval and the basic reference information set, and extraction content is obtained; A signal indication is obtained using the extraction content.
[0006] The normal mechanical vibration signal and the normal noise signal in the same basic reference information set are generated based on the same working state; The test mechanical vibration signal and the test noise signal in the same basic reference information set are generated based on the same working state.
[0007] In a possible implementation manner of the first aspect, the blade vibration state parameter set of the main ventilator is acquired, and the abnormal vibration time interval is obtained, including: Feedback data of a plurality of pressure sensors located on the blade is acquired, and a pressure distribution parameter set is obtained, the plurality of pressure sensors on the same blade being arranged along a chord line of the blade at intervals; A distribution grid is generated using the pressure distribution parameter set; A distribution grid difference value is obtained by comparing any two distribution grids; The abnormal vibration time interval is obtained according to the distribution grid difference value.
[0008] In a possible implementation manner of the first aspect, the distribution grid is generated using the pressure distribution parameter set, including: The feedback data in the same pressure distribution parameter set is represented by points in a coordinate system, the generation time of the feedback data being used as the horizontal coordinate, and the pressure value of the feedback data being used as the vertical coordinate; Any two points in the coordinate system are connected by a line segment, and a distribution grid is obtained.
[0009] In a possible implementation manner of the first aspect, the distribution grid difference value is obtained by comparing any two distribution grids, including: The area values of the two distribution grids are calculated respectively, and an area value difference is calculated, the area value difference being used as the distribution grid difference value; When the distribution grid difference value is zero or within an allowable range and a similarity value of the two distribution grids corresponding to the distribution grid difference value is less than or equal to an allowable value, a time period corresponding to the two distribution grids is marked as a normal vibration time interval; When the distribution grid difference value is outside the allowable range, a time period corresponding to the two distribution grids is marked as an abnormal vibration time interval; When the distribution grid difference value is zero or within the allowable range, a similarity value of the two distribution grids corresponding to the distribution grid difference value is further calculated, and when the similarity value is greater than or equal to the allowable value, a time period corresponding to the two distribution grids is marked as an abnormal vibration time interval.
[0010] In a possible implementation of the first aspect, the extracting of the test reference information set using the abnormal vibration time interval and the basic reference information set includes: determining a vibration frequency of the signal indication, the vibration frequency of the signal indication being a derived multiple related to the number of blades; extracting the test reference information set using the vibration frequency of the signal indication to obtain first extracted content; judging the correlation degree of the occurrence time of each sub-content in the first extracted content with the abnormal vibration time interval and performing screening to obtain second screened extracted content; removing the sub-contents in the second screened extracted content that are the same as the basic reference information set to obtain the extracted content.
[0011] In a possible implementation of the first aspect, when judging the correlation degree of the occurrence time of each sub-content in the first extracted content with the abnormal vibration time interval, the sub-content in the first extracted content is used as a fundamental wave to extract the test reference information to obtain the start time and the end time of the sub-content.
[0012] In a possible implementation of the first aspect, when obtaining the first extracted content, the second screened extracted content and the extracted content, only the start time, the end time and the frequency are used.
[0013] In a second aspect, the present application provides a main ventilator simulation test device, which includes: a first parameter acquisition unit configured to drive the main ventilator into a normal working state, acquire normal mechanical vibration signals and normal noise signals of the main ventilator, and use the normal mechanical vibration signals and the normal noise signals to establish a basic reference information set, each basic reference information set including a set of normal mechanical vibration signals and a set of normal noise signals; a second parameter acquisition unit configured to drive the main ventilator into a test working state, acquire test mechanical vibration signals and test noise signals of the main ventilator, and use the test mechanical vibration signals and the test noise signals to establish a test reference information set, each test reference information set including a set of test mechanical vibration signals and a set of test noise signals; a third parameter acquisition unit configured to acquire a blade vibration state parameter set of the main ventilator; an analysis unit configured to analyze the blade vibration state parameter set of the main ventilator to obtain an abnormal vibration time interval; a first processing unit configured to extract the test reference information set using the abnormal vibration time interval and the basic reference information set to obtain extracted content; a second processing unit configured to obtain a signal indication using the extracted content.
[0014] The normal mechanical vibration signal and the normal noise signal in the same basic reference information group are generated based on the same working state. The test mechanical vibration signal and the test noise signal in the same basic reference information group are generated based on the same working state.
[0015] In a third aspect, the present application provides a main fan simulation device, the device comprising: one or more memories for storing instructions; and one or more processors for calling and running the instructions from the memories to perform the method as described in the first aspect and any possible implementation of the first aspect.
[0016] In a fourth aspect, the present application provides a computer readable storage medium, the computer readable storage medium comprising: a program which, when executed by a processor, performs the method as described in the first aspect and any possible implementation of the first aspect.
[0017] In a fifth aspect, the present application provides a computer program product comprising program instructions which, when executed by a computing device, perform the method as described in the first aspect and any possible implementation of the first aspect.
[0018] In a sixth aspect, the present application provides a chip system, the chip system comprising a processor for implementing the functions involved in the above aspects, such as generating, receiving, sending, or processing the data and / or information involved in the above method.
[0019] The chip system can be composed of a chip, or can comprise a chip and other discrete devices.
[0020] In a possible design, the chip system further comprises a memory, the memory being configured to store necessary program instructions and data. The processor and the memory can be decoupled and arranged on different devices, and connected through wired or wireless means, or the processor and the memory can be coupled on the same device. BRIEF DESCRIPTION OF DRAWINGS
[0021] Figure 1 is a schematic block diagram of a step flow of a main fan simulation test method provided by the present application.
[0022] Figure 2 is a schematic diagram of a pressure sensor distribution provided by the present application.
[0023] Figure 3 is a schematic diagram of feedback data of a pressure sensor under normal conditions provided by the present application.
[0024] Figure 4 is another normal case pressure sensor feedback data schematic provided by the present application.
[0025] Figure 5 is an abnormal case pressure sensor feedback data schematic provided by the present application.
[0026] Figure 6 is a schematic diagram of generating a distribution grid using a pressure distribution parameter group provided by the present application. DETAILED DESCRIPTION
[0027] The technical solutions in the present application are further described in detail below with reference to the drawings.
[0028] The present application discloses a main ventilator simulation test method, please refer to Figure 1 In some examples, the main ventilator simulation test method disclosed by the present application includes the following steps: S101, drive the main ventilator into a normal working state, obtain normal mechanical vibration signals and normal noise signals of the main ventilator, and use the normal mechanical vibration signals and the normal noise signals to establish a basic reference information group, each basic reference information group including a group of normal mechanical vibration signals and a group of normal noise signals; S102, drive the main ventilator into a test working state, obtain test mechanical vibration signals and test noise signals of the main ventilator, and use the test mechanical vibration signals and the test noise signals to establish a test reference information group, each test reference information group including a group of test mechanical vibration signals and a group of test noise signals; S103, obtain a blade vibration state parameter group of the main ventilator; S104, analyze the blade vibration state parameter group of the main ventilator to obtain an abnormal vibration time interval; S105, use the abnormal vibration time interval and the basic reference information group to extract the test reference information group to obtain an extraction content; S106, use the extraction content to obtain a signal indication.
[0029] The normal mechanical vibration signals and the normal noise signals in the same basic reference information group are generated based on the same working state; The test mechanical vibration signals and the test noise signals in the same basic reference information group are generated based on the same working state.
[0030] Specifically, in step S101, the main ventilator is driven into a normal working state, normal mechanical vibration signals and normal noise signals of the main ventilator are obtained, and the normal mechanical vibration signals and the normal noise signals are used to establish a basic reference information set. The normal mechanical vibration signals and the normal noise signals are obtained by sensors. Each basic reference information set includes a set of normal mechanical vibration signals and a set of normal noise signals. Here, the normal mechanical vibration signals and the normal noise signals belonging to the same basic reference information set are required to have the same start time and end time.
[0031] Then, in step S102, the main ventilator is driven into a test working state, at which time test mechanical vibration signals and test noise signals of the main ventilator are obtained, and the test mechanical vibration signals and the test noise signals are used to establish a test reference information set. The test mechanical vibration signals and the test noise signals are obtained by sensors. Each test reference information set includes a set of test mechanical vibration signals and a set of test noise signals. Here, the test mechanical vibration signals and the test noise signals belonging to the same test reference information set are required to have the same start time and end time.
[0032] Steps S101 and S102 are basic information collection steps, and in addition, the normal mechanical vibration signals and the normal noise signals in the same basic reference information set are required to be generated based on the same working state, and the test mechanical vibration signals and the test noise signals in the same basic reference information set are required to be generated based on the same working state.
[0033] Here, driving the main ventilator into a normal working state means that the main ventilator is working in a normal state, at which time there is no condition such as stall (developing into surge in severe cases), and driving the main ventilator into a test working state means that the main ventilator has a potential risk of stall at this time.
[0034] Transitioning from the normal working state to the test working state is a parameter (one or more) change process. Specifically, in a certain speed condition, a parameter combination that may cause the main ventilator to stall is simulated. The parameters involved here include wind resistance changes, wind volume changes, and speed changes.
[0035] Transitioning from the normal working state to the test working state means that one or more parameters mentioned above have changed. This part of the content can also be described as the main ventilator first entering state A (normal working state), and then changing the parameters to enter state B, which is a test working state.
[0036] State A is a clear normal working state, and state B is an unknown state, which may be a normal working state or an abnormal working state.
[0037] In step S103, the blade vibration state parameter group of the main ventilator is acquired, at this time, the main ventilator is in a test state, then in step S104, the blade vibration state parameter group of the main ventilator is analyzed to obtain an abnormal vibration time interval, the abnormal vibration time interval refers to that the blade of the main ventilator has vibration out of the allowable range in this time interval.
[0038] Of course, in step S104, there is also a case where the abnormal vibration time interval cannot be obtained, at this time, step S102 is returned to execute and the process is cycled until the abnormal vibration time interval is obtained.
[0039] After obtaining the abnormal vibration time interval, step S105 is executed, in step S105, the abnormal vibration time interval and the basic reference information group are used to extract the test reference information group to obtain extraction content, finally, in step S106, the signal indication is obtained using the extraction content, the specific way of obtaining the signal indication using the extraction content is to save the extraction content as the signal indication, here, the number of extraction contents is multiple, because in steps S101 and S102, simulation test processes in multiple states are performed.
[0040] The obtained multiple extraction contents constitute the signal indication, in the actual use process, the signals (mechanical vibration signals and noise signals) of the main ventilator in the actual working state are compared with different extraction contents in the signal indication, so that the stall condition can be found in time.
[0041] It should be understood that the stall condition of the blade of the main ventilator is a process from zero to one, when the stall appears and is easily found, the stall condition at this time has been serious, at this time, there is a lag phenomenon in taking intervention measures. The problem to be solved by the present application is to find the stall condition when the stall just starts to appear.
[0042] To solve this problem involves samples, the richness of the samples directly determines whether the stall condition can be quickly found, based on this, the solution proposed by the present application is re-considered, the test reference information group (abnormal state) is extracted through the abnormal vibration time interval and the basic reference information group (normal state), which can quickly determine which changes have occurred in the mechanical vibration signals and noise signals at this time.
[0043] In some examples, the specific way of acquiring the blade vibration state parameter group of the main ventilator and obtaining the abnormal vibration time interval is as follows: S201, feedback data of multiple pressure sensors located on the blade is acquired to obtain a pressure distribution parameter group, the multiple pressure sensors on the same blade are arranged along the chord line of the blade at intervals; S202, a distribution grid is generated using the pressure distribution parameter group; S203, comparing any two distribution grids to obtain a distribution grid difference value; S204, obtaining an abnormal vibration time interval according to the distribution grid difference value.
[0044] The contents in steps S201 to S204 are determined by analyzing feedback data of a plurality of pressure sensors (such as Figure 2 The way of generating a distribution grid using a pressure distribution parameter group is as follows: Please refer to Figures 3 to 5 The feedback data in the same pressure distribution parameter group is represented by points in a coordinate system, the generation time of the feedback data is used as the horizontal coordinate, and the pressure value of the feedback data is used as the vertical coordinate. Then, any two points in the coordinate system are connected by a line segment to obtain a distribution grid, as shown in Figure 6 .
[0045] The way of comparing any two distribution grids and obtaining a distribution grid difference value is as follows: The area values of the two distribution grids and the area value difference are calculated respectively, and the area value difference is taken as the distribution grid difference value. Then, the following judgment is made: When the distribution grid difference value is zero or within the allowable range and the similarity value of the two distribution grids corresponding to the distribution grid difference value is less than or equal to the allowable value, the time interval corresponding to the two distribution grids is marked as a normal vibration time interval; When the distribution grid difference value is outside the allowable range, the time interval corresponding to the two distribution grids is marked as an abnormal vibration time interval; When the distribution grid difference value is zero or within the allowable range, the similarity value of the two distribution grids corresponding to the distribution grid difference value is also calculated. When the similarity value is greater than or equal to the allowable value, the time interval corresponding to the two distribution grids is marked as an abnormal vibration time interval.
[0046] The similarity value of the two distribution grids refers to whether the area difference of two corresponding single grids in the two distribution grids is within the allowable range. The value requirement is generally greater than or equal to 0.95-0.98. The proportion of the number of grids whose area difference exceeds the allowable range to the number of all grids (one distribution grid) is controlled to be less than or equal to 0.05-0.08. Of course, the numerical range given here is only an example and does not constitute a limitation on the present application.
[0047] It should be noted that there are multiple pressure sensors on the blade, and the feedback data of these pressure sensors has certain relevance. Although the pressure sensor reflects the pressure change of a point, when the blade stalls, a region will inevitably change, so it is difficult to determine by analyzing a single point.
[0048] Therefore, in the present application, a distribution grid is used for correlation analysis, which can associate these points together. When some of the points change, it will directly affect the area value difference.
[0049] In some examples, the specific way of extracting the test reference information set using the abnormal vibration time interval and the basic reference information set is as follows: Determine the vibration frequency of the signal indication, which is a derivative multiple related to the number of blades; Extract the test reference information set using the vibration frequency of the signal indication to obtain the first extraction content; Judge the correlation degree of the occurrence time of each sub-content in the first extraction content and the abnormal vibration time interval and filter to obtain the secondary filtering extraction content; Remove the same sub-contents in the secondary filtering extraction content as the basic reference information set to obtain the extraction content.
[0050] In the content, first, the vibration frequency of the signal indication (the vibration frequency of the signal indication is a derivative multiple related to the number of blades) needs to be determined, which is generally N times and 1 / N times. Then, the test reference information set is extracted using the vibration frequency of the signal indication to obtain the first extraction content, which is a frequency-based extraction method.
[0051] After obtaining the first extraction content, the correlation degree of the occurrence time of each sub-content in the first extraction content and the abnormal vibration time interval is judged and filtered to obtain the secondary filtering extraction content, which is a time-based extraction method. The correlation degree with the abnormal vibration time interval means that the occurrence time of each sub-content in the first extraction content has a high degree of coincidence with the abnormal vibration time interval. Generally, the degree of coincidence is required to be greater than or equal to 0.95-0.97.
[0052] Finally, remove the same sub-contents in the secondary filtering extraction content as the basic reference information set to obtain the extraction content, that is, the extraction content only appears in the secondary filtering extraction content.
[0053] In some possible implementations, when judging the correlation degree of the occurrence time of each sub-content in the first extraction content and the abnormal vibration time interval, the sub-contents in the first extraction content are used as the fundamental wave to extract the test reference information to obtain the start time and the end time of the sub-contents.
[0054] In some possible implementation manners, the obtaining the first extracted content, the obtaining the second filtered extracted content and the obtaining the extracted content only use the start time, the end time and the frequency.
[0055] The application further provides a main ventilator simulation test device, comprising: The first parameter acquisition unit is configured to drive the main ventilator to enter a normal working state, acquire normal mechanical vibration signals and normal noise signals of the main ventilator, and establish a basic reference information set using the normal mechanical vibration signals and the normal noise signals, wherein each basic reference information set comprises a set of normal mechanical vibration signals and a set of normal noise signals. The second parameter acquisition unit is configured to drive the main ventilator to enter a test working state, acquire test mechanical vibration signals and test noise signals of the main ventilator, and establish a test reference information set using the test mechanical vibration signals and the test noise signals, wherein each test reference information set comprises a set of test mechanical vibration signals and a set of test noise signals. The third parameter acquisition unit is configured to acquire a blade vibration state parameter set of the main ventilator. The analysis unit is configured to analyze the blade vibration state parameter set of the main ventilator to obtain an abnormal vibration time interval. The first processing unit is configured to use the abnormal vibration time interval and the basic reference information set to extract the test reference information set to obtain extracted content. The second processing unit is configured to use the extracted content to obtain a signal indication.
[0056] The normal mechanical vibration signals and the normal noise signals in the same basic reference information set are generated based on the same working state. The test mechanical vibration signals and the test noise signals in the same basic reference information set are generated based on the same working state.
[0057] Further, the acquiring the blade vibration state parameter set of the main ventilator and the obtaining the abnormal vibration time interval comprise: Acquiring feedback data of a plurality of pressure sensors located on the blades to obtain a pressure distribution parameter set, wherein the plurality of pressure sensors on the same blade are arranged along a chord line of the blade at intervals. Generating a distribution grid using the pressure distribution parameter set. Comparing any two distribution grids to obtain a distribution grid difference value. Obtaining the abnormal vibration time interval according to the distribution grid difference value.
[0058] Further, the generating the distribution grid using the pressure distribution parameter set comprises: The feedback data in the same pressure distribution parameter group is represented by points in a coordinate system, the generation time of the feedback data as the horizontal coordinate, and the pressure value of the feedback data as the vertical coordinate; Any two points in the coordinate system are connected by a line segment to obtain a distribution grid.
[0059] Further, comparing any two distribution grids and obtaining a distribution grid difference value includes: The area values of the two distribution grids and the area value difference are calculated respectively, and the area value difference is taken as the distribution grid difference value; When the distribution grid difference value is zero or within the allowed range and the similarity value of the two distribution grids corresponding to the distribution grid difference value is less than or equal to the allowed value, the time period corresponding to the two distribution grids is marked as a normal vibration time interval; When the distribution grid difference value is outside the allowed range, the time period corresponding to the two distribution grids is marked as an abnormal vibration time interval; When the distribution grid difference value is zero or within the allowed range, the similarity value of the two distribution grids corresponding to the distribution grid difference value is also calculated, and when the similarity value is greater than or equal to the allowed value, the time period corresponding to the two distribution grids is marked as an abnormal vibration time interval.
[0060] Further, using the abnormal vibration time interval and the basic reference information group to extract the test reference information group to obtain the extraction content includes: Determining the vibration frequency of the signal indication, the vibration frequency of the signal indication being a derivative multiple related to the number of blades; Using the vibration frequency of the signal indication to extract the test reference information group to obtain the first extraction content; Judging the correlation degree of the occurrence time of each sub-content in the first extraction content with the abnormal vibration time interval and filtering to obtain the secondary filtering extraction content; Removing the same sub-contents in the secondary filtering extraction content as the basic reference information group to obtain the extraction content.
[0061] Further, when judging the correlation degree of the occurrence time of each sub-content in the first extraction content with the abnormal vibration time interval, using the sub-content in the first extraction content as the fundamental wave to extract the test reference information to obtain the start time and the end time of the sub-content.
[0062] Further, when obtaining the first extraction content, obtaining the secondary filtering extraction content, and obtaining the extraction content, only the start time, the end time, and the frequency are used.
[0063] In one example, the units in any of the above apparatuses can be one or more integrated circuits, implemented using a variety of technologies, such as application specific integrated circuits (ASICs), or field programmable gate arrays (FPGAs), or as one or more digital signal processors (DSPs), or as one or more microprocessors, or as one or more microcontrollers, or as one or more processors of a system-on-a-chip (SoC), or as one or more processors of a computer system, or as one or more processors of a mobile device, or as one or more processors of a special purpose computer, or as one or more processors of another suitable computational device.
[0064] In another example, when the units in the apparatuses can be implemented by means of a processor scheduler, the processor can be a general purpose processor, such as a central processing unit (CPU) or other processor capable of invoking a program. In another example, the units can be integrated together in the form of a system-on-a-chip (SoC).
[0065] In the present disclosure, various objects such as messages / information / devices / network elements / systems / apparatuses / actions / operations / processes / concepts, etc. can be named. It should be understood that these specific names do not constitute a limitation on the relevant objects, and the names can be changed according to the scene, context or usage habits, etc. The technical meaning of the technical terms in the present disclosure should be determined mainly from the function and technical effect embodied / implemented in the technical scheme.
[0066] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.
[0067] In the several embodiments provided in the present disclosure, it should be understood that the disclosed system, apparatus and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, another division manner can be used. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.
[0068] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
[0069] Those skilled in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.
[0070] It should also be understood that in various embodiments of the present application, first, second, etc. are only to represent that a plurality of objects are different. For example, the first time window and the second time window are only to represent different time windows. The above first, second, etc. should not have any effect on the time window itself, and should not limit the embodiments of the present application.
[0071] It should also be understood that in various embodiments of the present application, the terms and / or descriptions between different embodiments are consistent and can be referred to each other if there is no special description and logical conflict, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationship.
[0072] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the essential part of the prior art or the part of the technical solutions can be embodied in the form of software products, which are stored in a computer readable storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in various embodiments of the present application. The foregoing computer readable storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and various program code storage media.
[0073] The present application also provides a main fan simulation device, the device comprises: One or more memories for storing instructions; and one or more processors for invoking at least one of the instructions stored in the memory to achieve the techniques attributed to the methods described above.
[0074] The present application also provides a computer program product including instructions which, when executed, cause the terminal device and the network device to perform the operations of the terminal device and the network device corresponding to the methods described above.
[0075] The present application also provides a chip system including a processor for implementing the functions involved in the above description, such as generating, receiving, sending, or processing the data and / or information involved in the above methods.
[0076] The chip system can be composed of a chip, or can include a chip and other discrete devices.
[0077] The processor mentioned in any of the above can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the programs of the above-mentioned feedback information transmission method.
[0078] In a possible design, the chip system further includes a memory, which is configured to store necessary program instructions and data. The processor and the memory can be decoupled and arranged on different devices, and connected through wired or wireless means to support the chip system to implement various functions in the above embodiments. Alternatively, the processor and the memory can be coupled on the same device.
[0079] Optionally, the computer instructions are stored in the memory.
[0080] Optionally, the memory is a storage unit in the chip, such as a register, a cache, etc. The memory can also be a storage unit in the terminal located outside the chip, such as a ROM or other type of static storage device that can store static information and instructions, a RAM, etc.
[0081] It can be understood that the memory in the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.
[0082] The non-volatile memory can be a ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically EPROM (EEPROM), or a flash memory.
[0083] The volatile memory can be a RAM used as an external cache. RAM has many different types, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synch link DRAM (SLDRAM), and direct Rambus RAM.
[0084] The embodiments of the present application are preferred embodiments of the present application, and are not intended to limit the protection scope of the present application, and therefore: any equivalent changes made according to the structure, shape, principle of the present application should be covered within the protection scope of the present application.
Claims
1. A simulation test method for a main ventilation fan, characterized in that, The method comprises the following steps: driving the main ventilator into a normal working state, obtaining normal mechanical vibration signals and normal noise signals of the main ventilator, and using the normal mechanical vibration signals and the normal noise signals to establish a basic reference information set, each basic reference information set comprising a set of normal mechanical vibration signals and a set of normal noise signals; driving the main ventilator into a test working state, obtaining test mechanical vibration signals and test noise signals of the main ventilator, and using the test mechanical vibration signals and the test noise signals to establish a test reference information set, each test reference information set comprising a set of test mechanical vibration signals and a set of test noise signals; obtaining a blade vibration state parameter set of the main ventilator; analyzing the blade vibration state parameter set of the main ventilator to obtain an abnormal vibration time interval; using the abnormal vibration time interval and the basic reference information set to extract the test reference information set to obtain extraction content; using the extraction content to obtain a signal indication; wherein the normal mechanical vibration signals and the normal noise signals in the same basic reference information set are generated based on the same working state; the test mechanical vibration signals and the test noise signals in the same basic reference information set are generated based on the same working state.
2. The main fan emulation test method of claim 1, wherein, The method of obtaining the blade vibration state parameter set of the main ventilator and obtaining the abnormal vibration time interval comprises: obtaining feedback data of a plurality of pressure sensors located on the blade to obtain a pressure distribution parameter set, the plurality of pressure sensors on the same blade being arranged along a chord line of the blade; generating a distribution grid using the pressure distribution parameter set; comparing any two distribution grids to obtain a distribution grid difference value; obtaining the abnormal vibration time interval according to the distribution grid difference value.
3. The main fan emulation test method of claim 2, wherein, The method of generating a distribution grid using the pressure distribution parameter set comprises: using points to represent the feedback data in a coordinate system, the generation time of the feedback data being used as the abscissa and the pressure value of the feedback data being used as the ordinate; connecting any two points in the coordinate system using a line segment to obtain a distribution grid.
4. The main fan emulation test method according to claim 2 or 3, characterized in that, The method of comparing any two distribution grids and obtaining a distribution grid difference value comprises: respectively calculating the area values and area value differences of the two distribution grids, and taking the area value difference as the distribution grid difference value; when the distribution grid difference value is zero or within an allowable range and the similarity value of the two distribution grids corresponding to the distribution grid difference value is less than or equal to an allowable value, marking the time period corresponding to the two distribution grids as a normal vibration time interval; when the distribution grid difference value is outside the allowable range, marking the time period corresponding to the two distribution grids as an abnormal vibration time interval; when the distribution grid difference value is zero or within an allowable range, further comprising calculating the similarity value of the two distribution grids corresponding to the distribution grid difference value, and when the similarity value is greater than or equal to an allowable value, marking the time period corresponding to the two distribution grids as an abnormal vibration time interval.
5. The main fan emulation test method of claim 1, wherein, The method of using the abnormal vibration time interval and the basic reference information set to extract the test reference information set to obtain extraction content comprises: determining a vibration frequency of the signal indication, the vibration frequency of the signal indication being a derivative multiple related to the number of blades; The vibration frequency using the signal indication is used to extract the test reference information set to obtain first extraction content; The correlation degree of the occurrence time of each sub-content in the first extraction content and the abnormal vibration time interval is judged and filtered to obtain secondary filtering extraction content; The sub-contents in the secondary filtering extraction content that are the same as the basic reference information set are removed to obtain extraction content.
6. The main fan emulation test method of claim 5, wherein, When judging the correlation degree of the occurrence time of each sub-content in the first extraction content and the abnormal vibration time interval, the sub-content in the first extraction content is used as a fundamental wave to extract the test reference information to obtain the start time and the end time of the sub-content.
7. The main fan emulation test method of claim 5, wherein, When obtaining the first extraction content, obtaining the secondary filtering extraction content, and obtaining the extraction content, only the start time, the end time, and the frequency are used.
8. A main fan simulation test device, characterized by, Comprise: The first parameter acquisition unit is used to drive the main ventilator into a normal working state, acquire normal mechanical vibration signals and normal noise signals of the main ventilator, and use the normal mechanical vibration signals and the normal noise signals to establish a basic reference information set. Each basic reference information set comprises a set of normal mechanical vibration signals and a set of normal noise signals. The second parameter acquisition unit is used to drive the main ventilator into a test working state, acquire test mechanical vibration signals and test noise signals of the main ventilator, and use the test mechanical vibration signals and the test noise signals to establish a test reference information set. Each test reference information set comprises a set of test mechanical vibration signals and a set of test noise signals. The third parameter acquisition unit is used to acquire a blade vibration state parameter set of the main ventilator. The analysis unit is used to analyze the blade vibration state parameter set of the main ventilator to obtain an abnormal vibration time interval. The first processing unit is used to extract the test reference information set using the abnormal vibration time interval and the basic reference information set to obtain extraction content. The second processing unit is used to obtain a signal indication using the extraction content. The normal mechanical vibration signals and the normal noise signals in the same basic reference information set are generated based on the same working state. The test mechanical vibration signals and the test noise signals in the same basic reference information set are generated based on the same working state.
9. A main fan emulation device, characterized by, The device comprises: One or more memories for storing instructions; and One or more processors for calling and running the instructions from the memories to perform the method of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, The computer readable storage medium comprises: A program, when the program is run by a processor, the method of any one of claims 1 to 7 is performed.