Pump health assessment method, device and mixing station

Abstract

The present application provides a pump health assessment method, device and mixing station, the health assessment method comprising: obtaining multiple sets of pump fluid efficiency data within the nth sampling period of the pump; fitting the pump fluid efficiency curve function of the nth sampling period according to the multiple sets of pump fluid efficiency data of the nth sampling period; generating an evaluation result according to the standard pump fluid efficiency curve function and the pump fluid efficiency curve function of the nth sampling period; wherein the evaluation result is used to indicate whether the pump requires maintenance. The technical solution provided by the present application is not only simple, but also the evaluation results are relatively accurate and reliable. The pump health assessment method, device and mixing station provided by the present application not only have a simple evaluation method, but also realize automatic evaluation of the health status of the pump, and the evaluation results have a high accuracy rate.

Description

Technical Field

[0001] The present application relates to the technical field of pump health assessment, and in particular to a pump health assessment method, device and mixing station. Background Art

[0002] Currently in the field of pump health assessment and diagnosis, whether a pump needs maintenance is usually determined by staff based on experience. Therefore, the accuracy of evaluating the health status of the pump is low. Summary of the invention

[0003] In view of this, the present application provides a pump health assessment method, device and mixing station, which solve the technical problem of low accuracy in assessing the health status of a pump in the prior art.

[0004] According to the first aspect of the present application, the present application provides a pump health assessment method, comprising: obtaining multiple sets of pump fluid efficiency data within the nth sampling period of the pump, wherein n is an integer greater than 0; fitting the pump fluid efficiency curve function of the nth sampling period based on the multiple sets of pump fluid efficiency data of the nth sampling period; and generating an evaluation result based on the standard pump fluid efficiency curve function and the pump fluid efficiency curve function of the nth sampling period; wherein the evaluation result is used to indicate whether the pump requires maintenance.

[0005] In one possible implementation, the evaluation result is generated based on the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period, including: calculating the degradation evaluation index of the nth sampling period based on the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period; and generating the evaluation result based on the degradation evaluation index and evaluation threshold of the nth sampling period.

[0006] In one possible implementation, each set of the pumping efficiency data includes pumping time and pumping volume; the pumping efficiency curve function of the nth sampling period and the standard pumping efficiency curve function are both curve functions used to represent the relationship between the pumping time and the pumping volume; wherein the pumping time is the time interval between the pump turning on and the pump turning off time each time the pump pumps liquid, and the pumping volume is the total amount of water delivered by the pump within the pumping time.

[0007] In one possible implementation, fitting the pump fluid efficiency curve function of the nth sampling period based on the multiple sets of pump fluid efficiency data of the nth sampling period includes: fitting the pump fluid efficiency curve function of the nth sampling period using the least squares method based on the multiple sets of pump fluid efficiency data.

[0008] In one possible implementation, the degradation evaluation index of the pump in the nth sampling period is calculated based on the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period, including: integrating and subtracting the pump efficiency curve function of the nth sampling period and the standard pump efficiency curve function within a preset pump volume range to calculate the degradation evaluation index of the nth sampling period.

[0009] In one possible implementation, the standard pump fluid efficiency curve function is the pump fluid efficiency curve function of the first sampling period after the pump is put into operation; wherein, the minimum value of the preset pump fluid volume interval is taken at the minimum pump fluid volume in the first sampling period and the nth sampling period, and the maximum value of the preset pump fluid volume interval is taken at the maximum pump fluid volume in the first sampling period and the nth sampling period; wherein, before calculating the degradation evaluation index of the nth sampling period of the pump based on the standard pump fluid efficiency curve function and the pump fluid efficiency curve function of the nth sampling period, the health evaluation method also includes: acquiring multiple groups of pump fluid efficiency data of the first sampling period; and fitting the standard pump fluid efficiency curve function based on the multiple groups of pump fluid efficiency data of the first sampling period.

[0010] In one possible implementation, before generating the evaluation result based on the degradation evaluation index and the evaluation threshold of the nth sampling period, the evaluation result is generated based on the standard pump fluid efficiency curve function and the pump fluid efficiency curve function of the nth sampling period; wherein the evaluation result is used to indicate whether the pump requires maintenance, and further includes: obtaining the evaluation threshold based on the degradation evaluation index of M pumps of the same model in the nth sampling period.

[0011] In a possible implementation, the obtaining of the evaluation threshold value based on the degradation evaluation indicators of the M n-th sampling periods of the M pumps of the same model includes: arranging the degradation evaluation indicators of the M n-th sampling periods from small to large to obtain a degradation evaluation indicator sequence of the n-th sampling period; obtaining Q1 and Q3 from the degradation evaluation indicator sequence of the n-th sampling period; wherein Q1 is the (1+M) / 4th value in the degradation evaluation indicator sequence of the n-th sampling period, and Q3 is the (1+M) / 4*3th value in the degradation evaluation indicator sequence of the n-th sampling period; and calculating the evaluation threshold value based on Q1 and Q3.

[0012] According to the second aspect of the present application, the present application provides a pump health assessment device, comprising: an acquisition module, used to acquire multiple sets of pump fluid efficiency data within the nth sampling period, wherein n is an integer greater than 0; a fitting module, used to fit the pump fluid efficiency curve function of the nth sampling period based on the multiple sets of pump fluid efficiency data of the nth sampling period; and a generation module, used to generate an evaluation result based on the standard pump fluid efficiency curve function and the pump fluid efficiency curve function of the nth sampling period; wherein the evaluation result is used to indicate whether the pump requires maintenance.

[0013] According to a third aspect of the present application, the present application provides a mixing station, which includes a pump and the above-mentioned health assessment device.

[0014] The pump health evaluation method, device and mixing station provided by the present application focus on the pump fluid efficiency of the pump, perform data fitting on multiple groups of pump fluid efficiency data to obtain the pump fluid efficiency curve function of the nth sampling period, thereby obtaining the operating status of the pump in the nth sampling period, and evaluate the health of the pump based on the pump fluid efficiency curve function of the nth sampling period and the standard pump fluid efficiency curve function. Therefore, the pump health evaluation method, device and mixing station provided by the present application not only have a simple evaluation method, but also realize automatic evaluation of the health status of the pump, and the evaluation result has a high accuracy rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 Shown is a flow chart of a health assessment method provided by a possible implementation of the present application;

[0016] Figure 2 Shown is a schematic diagram of a pump efficiency curve and a standard pump efficiency curve for the nth sampling period in a health assessment method provided by a possible implementation of the present application;

[0017] Figure 3 Shown is a flow chart of a health assessment method provided by a possible implementation of the present application;

[0018] Figure 4 Shown is a structural block diagram of a health assessment device provided by a possible implementation of the present application;

[0019] Figure 5 The figure shows a structural block diagram of a mixing station provided by a possible implementation of the present application;

[0020] Figure 6 Shown is a schematic diagram of the structure of an electronic device provided by a possible implementation of the present application. DETAILED DESCRIPTION

[0021] In the description of the application, the meaning of "multiple" is at least two, for example, two, three, etc., unless otherwise clearly and specifically limited. In the embodiment of the present application, all directional indications (such as up, down, left, right, front, back, top, bottom ...) are only used to explain the relative position relationship, motion conditions, etc. between the components under a certain specific posture (as shown in the drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their deformations are intended to cover non-exclusive inclusions. For example, the process, method, system, product or equipment comprising a series of steps or units are not limited to the steps or units listed, but optionally also include the steps or units not listed, or optionally also include other steps or units inherent to these processes, methods, products or equipment.

[0022] In addition, the reference to "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0023] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0024] The present application provides a health assessment method for a pump 200, a health assessment device 100, and a mixing station 1000, focusing on the pumping efficiency of the pump 200, and using data fitting to quantitatively evaluate the health status of the pump 200; the health assessment method, health assessment device 100, and mixing station 1000 provided in the present application not only have simple evaluation methods, but also realize automatic evaluation of the health status of the pump 200, and the evaluation results have a high accuracy rate.

[0025] According to a first aspect of the present application, the present application provides a health assessment method for a pump 200. Figure 1 Shown is a flow chart of a health assessment method for a pump 200 provided in a possible implementation of the present application.

[0026] In a specific implementation, one application scenario of the pump 200 may be to apply it to the mixing equipment of the mixing station 1000, by installing a collector 300 on the mixing equipment to collect the relevant data of the above-mentioned pump liquid efficiency; after the mixing equipment is put into use, the relevant data of the pump liquid efficiency of the pump 200 are sampled separately in multiple different sampling periods.

[0027] Figure 2 Shown is a schematic diagram of a pump efficiency curve and a standard pump efficiency curve for the nth sampling period in a health assessment method provided in a possible implementation of the present application. Figure 2 The n shown in is used to represent the nth sampling period after the pump 200 is put into operation.

[0028] Specifically, please combine Figure 1 and Figure 2 As shown, the health assessment method includes the following steps:

[0029] Step S1: Acquire multiple sets of pumping efficiency data in the nth sampling period of the pump 200, where n is an integer greater than 0.

[0030] In specific implementation, the plurality of groups of pumping efficiency data may be no less than the pumping efficiency data of group A. The value of A may be set as required, such as A may be 20, 60, 80 or 100.

[0031] Step S2: fitting a pumping efficiency curve function of the nth sampling period according to multiple groups of pumping efficiency data of the nth sampling period.

[0032] Step S3: Generate an evaluation result based on the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period; wherein the evaluation result is used to indicate whether the pump 200 needs maintenance.

[0033] Specifically, please combine Figure 2 As shown, each set of pump efficiency data constitutes the data points shown in the figure, the curve f0(w) is the standard pump efficiency curve function, and the curve f n (w) is the pump efficiency curve function of the nth sampling period.

[0034] Optionally, the liquid transported by the pump 200 in this implementation is water, and in other possible implementations, the liquid may also be oil, acid or alkali liquid, or suspension, etc.

[0035] The health evaluation method provided by this implementation focuses on the pumping efficiency of the pump 200, performs data fitting on multiple sets of pumping efficiency data to obtain the pumping efficiency curve function of the nth sampling period, thereby obtaining the operating status of the pump 200 in the nth sampling period, and evaluates the health of the pump 200 based on the pumping efficiency curve function of the nth sampling period and the standard pumping efficiency curve function. This implementation does not use a single sampling data as a measurement basis, and is not a threshold alarm for a single value, but uses a data fitting method based on multiple sets of pumping efficiency data to quantitatively evaluate the health of the pump 200. Therefore, the evaluation result is more accurate and reliable. That is, the health evaluation method of the pump 200 provided by this implementation is not only simple, but also realizes the automatic evaluation of the health status of the pump 200, and the evaluation result has a high accuracy rate.

[0036] In a possible implementation, step S3 (generating an evaluation result according to the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period; wherein the evaluation result is used to indicate whether the pump 200 needs maintenance) includes the following steps:

[0037] Step S31: calculating the degradation evaluation index of the pump 200 in the nth sampling period according to the standard pump efficiency curve function and the pump efficiency curve function in the nth sampling period.

[0038] Specifically, the degradation evaluation index of the nth sampling cycle is the degradation score of the pump 200 relative to the standard health state (standard pump fluid efficiency curve function) in the nth sampling cycle. The larger the degradation evaluation index of the nth sampling cycle, the more serious the degradation of the pump 200.

[0039] Step S32: Generate an evaluation result according to the degradation evaluation index and the evaluation threshold of the nth sampling period.

[0040] Specifically, the evaluation result may include warning information. When the degradation evaluation index of the nth sampling period is greater than the evaluation threshold, the warning information is generated to warn the staff that the pump 200 needs maintenance.

[0041] The health evaluation method provided by the implementation method obtains the degradation evaluation index of the nth sampling period used to evaluate the health status of the pump 200 at the nth sampling period according to the pump efficiency curve function of the nth sampling period and the standard pump efficiency curve function; and then evaluates the health status of the pump 200 according to the magnitude relationship between the degradation evaluation index of the nth sampling period and the evaluation threshold. Therefore, the health evaluation method provided by the implementation method realizes quantitative evaluation of the health status of the pump 200 by calculating the degradation evaluation index of the nth sampling period, which is not only simple in evaluation method, but also more accurate and reliable in evaluation result.

[0042] Specifically, each set of pumping efficiency data includes pumping time and pumping volume; the pumping efficiency curve function of the nth sampling period and the standard pumping efficiency curve function are both curve functions used to represent the relationship between pumping time and pumping volume; wherein, the pumping time is the time interval from the time when the pump 200 is turned on to the time when the pump 200 is turned off each time, and the pumping volume is the total amount of liquid transported by the pump 200 within the pumping time.

[0043] Optionally, the amount of pumped liquid in this implementation may be the weight of the pumped liquid, and in other possible implementations, the amount of pumped liquid may be the volume of the pumped liquid.

[0044] Specifically, during the sampling period, each time the pump 200 is operated, data is recorded to count the pumping time and pumping weight of the pump 200. The pumping weight of the pumped liquid is obtained by weighing the liquid weighing sensor each time.

[0045] In this implementation, since the pumping time and pumping weight can be easily obtained directly or indirectly from the mixing station 1000 system database, and the amount of data is small, the health evaluation method provided by this implementation is relatively simple and low in cost.

[0046] In one possible implementation, please combine Figure 2 and Figure 3 As shown, the data fitting method is the least square method. Specifically, step S2 (fitting the pumping efficiency curve function of the nth sampling period according to multiple sets of pumping efficiency data of the nth sampling period) includes step S21: fitting the pumping efficiency curve function t=f(w) of the nth sampling period according to multiple sets of pumping efficiency data using the least square method, wherein t is the pumping time and w is the pumping volume.

[0047] Among them, the least squares method is the most commonly used method to solve curve fitting problems. Its basic idea is: let in, is a set of linearly independent functions selected in advance, a k is the unknown coefficient (k=1,2,…,n), and the fitting criterion is to make t i The distance δ between (i=1,2,…n) and f(w) i The sum of squares is minimized, which is called the least squares criterion.

[0048] In one possible implementation, Figure 2 and Figure 3As shown, step S31 (calculating the degradation evaluation index of the nth sampling period of the pump 200 based on the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period) includes step S311: integrating and subtracting the pump efficiency curve function of the nth sampling period and the standard pump efficiency curve function within a preset pump volume range to calculate the degradation evaluation index of the nth sampling period.

[0049] Specifically, according to Formula 1, the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period are calculated in the preset pump volume range (w min ~w max ) to calculate the degradation evaluation index of the nth sampling period;

[0050] in,

[0051] Where Q is the degradation evaluation index of the nth sampling period, f0(w) is the standard pump efficiency curve function, and f n (w) is the pump efficiency curve function of the nth sampling period, w min Expressed as the minimum value of the pump liquid volume, w max Indicated as the maximum value of the pump liquid volume.

[0052] In one possible implementation, see Figure 2 and Figure 3 As shown, the standard pump efficiency curve is the pump efficiency curve of the first sampling period after the pump 200 is put into operation, that is, f0(w)=f1(w); wherein, w min The value is taken from the minimum pump liquid volume in the first sampling cycle and the nth sampling cycle, w max The value is taken from the maximum pump liquid volume in the first sampling cycle and the nth sampling cycle;

[0053] Specifically, before step S31 (calculating the degradation evaluation index of the nth sampling period of the pump 200 according to the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period), the health evaluation method further includes the following steps:

[0054] Step S4: Acquire multiple groups of pump efficiency data in the first sampling period.

[0055] Step S5: fitting a standard pumping efficiency curve function based on multiple groups of pumping efficiency data in the first sampling period.

[0056] In this implementation, f of each sampling period n (w) reflects the operating condition of the pump 200 in the cycle. The degradation of the pump 200 in the nth sampling cycle relative to the first sampling cycle is obtained through the mathematical calculation method of integration and difference.

[0057] In one possible implementation, see Figure 2 and Figure 3 As shown, before step S32 (generating an evaluation result based on the degradation evaluation index and the evaluation threshold of the nth sampling period), step S3 (generating an evaluation result based on the standard pump fluid efficiency curve function and the pump fluid efficiency curve function of the nth sampling period; wherein the evaluation result is used to indicate whether the pump 200 requires maintenance) also includes step S33: obtaining an evaluation threshold based on the degradation evaluation index of M nth sampling periods of M pumps 200 of the same model.

[0058] In specific implementation, the degradation evaluation indexes of the nth sampling period of M pumps 200 of the same model are calculated respectively, and the pumps 200 with excessively large degradation evaluation indexes are screened out using a box plot according to the degradation evaluation indexes of the M nth sampling periods. That is, steps S331 to S333 are executed.

[0059] Specifically, please combine Figure 2 and Figure 3 As shown, step S33 includes the following steps:

[0060] Step S331: Arrange the M degradation evaluation indicators of the n-th sampling period from small to large to obtain a degradation evaluation indicator sequence of the n-th sampling period.

[0061] Step S332: Obtain Q1 and Q3 from the degradation evaluation indicator sequence of the nth sampling period; wherein Q1 is the (1+M) / 4th value in the degradation evaluation indicator sequence of the nth sampling period, and Q3 is the (1+M) / 4*3th value in the degradation evaluation indicator sequence of the nth sampling period.

[0062] Step S333: Calculate the evaluation threshold based on Q1 and Q3.

[0063] Specifically, step S333 includes step S3331: amplifying the difference between Q3 and Q1 to 1.5 times and then adding the difference to Q3 to calculate the evaluation threshold.

[0064] That is, the evaluation threshold is calculated according to formula 2.

[0065] Wherein, TH = Q3 + 1.5 * (Q3 - Q1) (Formula 2);

[0066] Among them, TH is the evaluation threshold.

[0067] Specifically, when the degradation evaluation index of the nth sampling cycle is greater than the evaluation threshold, an alarm is issued and the pump 200 is maintained, that is, step S321 is executed: when the degradation evaluation index of the nth sampling cycle is greater than the evaluation threshold, a warning message is generated; wherein the warning message is used to warn the staff that the pump 200 needs maintenance.

[0068] The health evaluation method of the pump 200 provided in the present application calculates the quantitative health evaluation index of the pump 200 (the degradation evaluation index of the nth sampling cycle) based on the pump fluid efficiency data, and applies mathematical tools such as the least squares method, integral difference, and box plot to evaluate the health status of the pump 200. Therefore, the evaluation result has a good theoretical support and is relatively accurate.

[0069] According to a second aspect of the present application, the present application provides a health assessment device 100 for a pump 200, Figure 4 Shown is a structural block diagram of a health assessment device 100 provided in a possible implementation of the present application.

[0070] Specifically, the health evaluation device 100 includes an acquisition module 101, a fitting module 102, and a generation module 103. The acquisition module 101 is used to acquire multiple sets of pump efficiency data in the nth sampling period; the fitting module 102 is used to fit the pump efficiency curve function of the nth sampling period according to the multiple sets of pump efficiency data of the nth sampling period; the generation module 103 is used to generate an evaluation result according to the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period; wherein the evaluation result is used to warn that the pump 200 needs maintenance.

[0071] For the specific structure and beneficial effects of the health assessment device 100 in this implementation, please refer to the first aspect of the present application and will not be elaborated here.

[0072] According to a third aspect of the present application, the present application provides a mixing station 1000, Figure 5 The figure shows a structural block diagram of a mixing station 1000 provided in a possible implementation of the present application. The mixing station 1000 includes a pump 200 and the above-mentioned health assessment device 100 .

[0073] Specifically, the mixing station 1000 includes a collector 300, which is in communication with the health assessment device 100. The collector 300 is used to collect pumping efficiency data (pumping time and pumping volume) of the pump 200 and send the collected data to the health assessment device 100.

[0074] Below, reference Figure 6 To describe an electronic device according to an embodiment of the present application. Figure 6 Shown is a schematic structural diagram of an electronic device provided in one embodiment of the present application.

[0075] like Figure 6 As shown, the electronic device 600 includes one or more processors 601 and a memory 602 .

[0076] The processor 601 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or information execution capabilities, and may control other components in the electronic device 600 to perform desired functions.

[0077] The memory 601 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. One or more computer program information may be stored on the computer-readable storage medium, and the processor 601 may run the program information to implement the health assessment method of the pump 200 of the various embodiments of the present application described above or other desired functions.

[0078] In one example, the electronic device 600 may further include: an input device 603 and an output device 604 , and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0079] The input device 603 may include, for example, a keyboard, a mouse, etc.

[0080] The output device 604 can output various information to the outside. The output device 604 can include, for example, a display, a communication network and a remote output device connected thereto.

[0081] Of course, to simplify, Figure 6 Only some of the components related to the present application in the electronic device 600 are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application situations, the electronic device 600 may also include any other appropriate components.

[0082] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program information, which, when executed by a processor, enables the processor to execute the steps in the health assessment method of the pump 200 according to various embodiments of the present application described in this specification.

[0083] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0084] In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program information is stored. When the computer program information is executed by a processor, the processor executes the steps of the health assessment method according to various embodiments of the present application described in this specification.

[0085] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0086] The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

[0087] The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

[0088] It should also be noted that in the apparatus, device and method of the present application, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0089] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features of the present invention.

[0090] The above description is only a preferred embodiment of the invention of the present application and is not intended to limit the invention of the present application. Any modifications, equivalent substitutions, etc. made within the spirit and principles of the invention of the present application shall be included in the protection scope of the invention of the present application.

Claims

1. A method for evaluating the health of a pump, characterized in that: include: Acquire multiple sets of pump fluid efficiency data in the nth sampling period of the pump, where n is an integer greater than 0; According to the plurality of groups of pumping efficiency data of the nth sampling period, fitting to obtain a pumping efficiency curve function of the nth sampling period; and Generate an evaluation result according to the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period; wherein the evaluation result is used to indicate whether the pump needs maintenance; The generating of the evaluation result according to the standard pumping efficiency curve function and the pumping efficiency curve function of the nth sampling period includes: According to the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period, a degradation evaluation index of the nth sampling period is calculated, wherein the degradation evaluation index of the nth sampling period is a degradation score of the pump in the nth sampling period relative to a standard healthy state; Obtaining an evaluation threshold value according to the degradation evaluation indicators of the M pumps of the same model in the n-th sampling periods; and The evaluation result is generated according to the degradation evaluation index and the evaluation threshold of the nth sampling period.

2. The health assessment method according to claim 1, characterized in that: Each set of the pumping efficiency data includes pumping time and pumping volume; the pumping efficiency curve function of the nth sampling period and the standard pumping efficiency curve function are both curve functions used to represent the relationship between the pumping time and the pumping volume; The pumping time is the time interval between the pump start time and the pump shut down time each time the pump pumps liquid, and the pumping volume is the total volume of water delivered by the pump within the pumping time.

3. The health assessment method according to claim 1, characterized in that: The step of fitting the pumping efficiency curve function of the nth sampling period according to the plurality of groups of pumping efficiency data of the nth sampling period comprises: According to the plurality of groups of pumping efficiency data, the pumping efficiency curve function of the nth sampling period is fitted by using the least square method.

4. The health assessment method according to claim 2, characterized in that: The step of calculating the degradation evaluation index of the pump in the nth sampling period according to the standard pump efficiency curve function and the pump efficiency curve function in the nth sampling period includes: The pump efficiency curve function of the nth sampling period and the standard pump efficiency curve function are integrated and differentiated within a preset pump volume range to calculate the degradation evaluation index of the nth sampling period.

5. The health assessment method according to claim 4, characterized in that: The standard pump efficiency curve function is the pump efficiency curve function of the first sampling period after the pump is put into operation; wherein the minimum value of the preset pump volume interval is taken at the minimum pump volume in the first sampling period and the nth sampling period, and the maximum value of the preset pump volume interval is taken at the maximum pump volume in the first sampling period and the nth sampling period; Wherein, before calculating the degradation evaluation index of the nth sampling period of the pump according to the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period, the health evaluation method further includes: Acquiring multiple sets of pump efficiency data of the first sampling period; and The standard pumping efficiency curve function is obtained by fitting according to the multiple groups of pumping efficiency data in the first sampling period.

6. The health assessment method according to claim 1, characterized in that: The step of obtaining the evaluation threshold value according to the degradation evaluation indicators of the M pumps of the same model in the n-th sampling period includes: Arrange the M degradation evaluation indicators of the n-th sampling period from small to large to obtain a degradation evaluation indicator sequence of the n-th sampling period; Obtaining Q1 and Q3 from the degradation evaluation indicator sequence of the nth sampling period; wherein Q1 is the (1+M) / 4th value in the degradation evaluation indicator sequence of the nth sampling period, and Q3 is the (1+M) / 4*3th value in the degradation evaluation indicator sequence of the nth sampling period; and An evaluation threshold is calculated based on the Q1 and the Q3.

7. A pump health assessment device, characterized in that: include: An acquisition module, used to acquire multiple groups of pump efficiency data in the nth sampling period, where n is an integer greater than 0; A fitting module, configured to fit the plurality of groups of pumping efficiency data of the nth sampling period to obtain a pumping efficiency curve function of the nth sampling period; and A generating module, used to generate an evaluation result according to a standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period; wherein the evaluation result is used to indicate whether the pump needs maintenance; The generating of the evaluation result according to the standard pumping efficiency curve function and the pumping efficiency curve function of the nth sampling period includes: According to the standard pump efficiency curve function and the pump efficiency curve function of the nth sampling period, a degradation evaluation index of the nth sampling period is calculated, wherein the degradation evaluation index of the nth sampling period is a degradation score of the pump in the nth sampling period relative to a standard healthy state; Obtaining an evaluation threshold value according to the degradation evaluation indicators of the M pumps of the same model in the n-th sampling periods; and The evaluation result is generated according to the degradation evaluation index and the evaluation threshold of the nth sampling period.

8. A mixing station, characterized in that: The mixing station comprises a pump and a health assessment device as claimed in claim 7.

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