Method for diagnosing anomaly of mixing plant, anomaly diagnosing device, and mixing plant

Abstract

The application provides an abnormality diagnosis method, an abnormality diagnosis device and a mixing station. The mixing station comprises a powder measuring hopper, an aggregate waiting hopper, a supporting platform and a mixing main machine. The powder measuring hopper and the aggregate measuring hopper are both installed on the supporting platform, and the discharge port of the powder measuring hopper is connected with the upper cover of the mixing main machine through a soft connecting piece. The abnormality diagnosis method comprises the following steps: obtaining a first state parameter of the mixing station in an empty state of the aggregate waiting hopper and a second state parameter of the mixing station in a full state of the aggregate waiting hopper; and judging whether the mixing station has an abnormal measurement fault according to the comparison result of the first state parameter and the second state parameter. The abnormality diagnosis method, the abnormality diagnosis device and the mixing station of the application are realized on the original mixing station structure, do not need to add new structures, are simple in structure and few in steps, can accurately reflect whether the mixing station has an abnormal detection fault, and thus facilitate the user to carry out subsequent maintenance and processing on the mixing station.

Description

Technical Field

[0001] This invention relates to the field of electrical technology, and in particular to a method, device and equipment for diagnosing abnormalities in a mixing plant. Background Technology

[0002] In related technologies, after the aggregate hopper is filled with material, the powder hopper support platform will undergo a certain elastic deformation, which may cause the soft connection below the metering hopper to push the metering hopper upward, resulting in inaccurate powder measurement values. Summary of the Invention

[0003] This invention provides a method, device, and plant for diagnosing abnormalities in a mixing plant, which addresses the deficiencies in the prior art and achieves the following technical effects: it can be implemented on the existing mixing plant structure without adding new structures, the structure is simple and the steps are few, and it can accurately reflect whether there are abnormal measurement faults in the mixing plant, thereby facilitating users to carry out subsequent maintenance and handling of the mixing plant.

[0004] According to a first aspect of the present invention, the mixing plant includes a powder metering hopper, an aggregate waiting hopper, a support platform, and a mixing host. The powder metering hopper and the aggregate waiting hopper are both installed on the support platform, and the discharge port of the powder metering hopper is connected to the upper cover of the mixing host through a flexible connector.

[0005] The abnormality diagnosis method of the mixing plant includes:

[0006] Obtain the first state parameter of the mixing station when the aggregate waiting hopper is empty, and the second state parameter of the mixing station when the aggregate waiting hopper is full;

[0007] Based on the comparison between the first state parameter and the second state parameter, it is determined whether the mixing plant has experienced an abnormal measurement fault.

[0008] According to an embodiment of the present invention, a weighing sensor is provided below the powder metering hopper. The first state parameter includes the first weighing value of the weighing sensor when the aggregate waiting hopper is empty, and the second state parameter includes the second weighing value of the weighing sensor when the aggregate waiting hopper is full. The abnormal measurement fault includes a top scale fault of the flexible connector.

[0009] The step of determining whether the mixing plant has experienced an abnormal measurement fault based on the comparison result of the first state parameter and the second state parameter specifically includes:

[0010] If the difference between the first weighing value and the second weighing value is less than the set weighing difference, it is determined that the mixing plant does not have a fault in the soft connector top scale.

[0011] If the difference between the first weighing value and the second weighing value is greater than the set weighing difference, it is determined that the mixing plant has a fault in the soft connector top scale.

[0012] According to one embodiment of the present invention, the set weighing difference is one percent of the first weighing value.

[0013] According to an embodiment of the present invention, after determining that the difference between the first weighing value and the second weighing value is greater than the set weighing difference value, and judging that the mixing plant has a fault in the flexible connector top scale, the method further includes:

[0014] The weighing correction value is calculated based on the difference between the first weighing value and the second weighing value;

[0015] In the next weighing process of the powder metering hopper, the measured value detected by the weighing sensor is corrected using the weighing correction value to obtain the corrected actual weighing value.

[0016] According to one embodiment of the present invention, a deformation sensor is provided on the support platform, and a feeding sensor is also provided inside the powder metering hopper;

[0017] The abnormality diagnosis method also includes:

[0018] The deformation value of the deformation sensor during the first detection time and the feed rate of the feed sensor during the first detection time are obtained.

[0019] Based on the changes in deformation value and the changes in feed rate, determine whether the mixing station has experienced an abnormal measurement fault.

[0020] According to one embodiment of the present invention, the abnormal measurement fault includes a fault in the flexible connector top scale. Therefore, the step of determining whether the mixing plant has experienced an abnormal measurement fault based on the changes in deformation value and the changes in feed rate specifically includes:

[0021] If the deformation value continuously increases during the first detection period and the feeding speed continuously decreases during the first detection period, it is determined that the mixing plant has a fault in the soft connector top scale. At this time, the mixing plant is controlled to issue an abnormal alarm.

[0022] If the deformation value continuously increases during the first detection period, and the feeding speed remains unchanged or increases during the first detection period, then it is determined that the mixing plant does not have a fault in the soft connector top scale.

[0023] According to one embodiment of the present invention, the powder metering hopper is provided with a powder hopper pressure sensor, and the mixing host is provided with a host host pressure sensor;

[0024] The abnormality diagnosis method also includes:

[0025] The powder hopper air pressure sensor acquires multiple powder hopper air pressure values ​​detected during the second detection period, and the host air pressure sensor acquires multiple host air pressure values ​​detected during the second detection period.

[0026] Based on the comparison between the air pressure detection value of the powder hopper and the air pressure detection value of the main unit, it is determined whether the mixing station has an abnormal measurement fault.

[0027] According to an embodiment of the present invention, the abnormal measurement fault includes a soft connector top scale fault and a soft connector pull scale fault. The step of determining whether the mixing plant has experienced an abnormal measurement fault based on the comparison between the powder hopper air pressure detection value and the main unit air pressure detection value specifically includes:

[0028] If the air pressure detection value of the powder hopper is determined to be greater than the air pressure detection value of the main unit throughout the second detection period, it is determined that the mixing plant has a fault in the soft connector scale pulling. At this time, the mixing plant is controlled to issue a first abnormal alarm.

[0029] If the air pressure detection value of the powder hopper is determined to be lower than the air pressure detection value of the main unit throughout the second detection period, it is determined that the mixing plant has a fault in the soft connector top scale. At this time, the mixing plant is controlled to issue a second abnormal alarm.

[0030] According to a second aspect of the present invention, the mixing plant includes a powder metering hopper, an aggregate waiting hopper, a support platform, and a mixing host. The powder metering hopper and the aggregate waiting hopper are both installed on the support platform, and the discharge port of the powder metering hopper is connected to the upper cover of the mixing host through a flexible connector.

[0031] The abnormality diagnosis device for the mixing plant includes:

[0032] The first acquisition module is used to acquire a first state parameter of the mixing station when the aggregate waiting hopper is empty, and a second state parameter of the mixing station when the aggregate waiting hopper is full.

[0033] The first control module is used to determine whether the mixing plant has an abnormal measurement fault based on the comparison result between the first state parameter and the second state parameter.

[0034] According to a third aspect of the present invention, a mixing plant includes a powder metering hopper, an aggregate waiting hopper, a support platform, and a mixing host. The powder metering hopper and the aggregate waiting hopper are both installed on the support platform, and the discharge port below the powder metering hopper is connected to the top cover of the mixing host through a flexible connector.

[0035] The mixing plant further includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the abnormal diagnosis method for the mixing plant as described in the first aspect of the present invention.

[0036] In summary, to address the technical problems existing in the aforementioned related technologies, this invention provides an anomaly diagnosis method for a mixing plant. This method acquires first and second state parameters of the mixing plant when the aggregate waiting hopper is empty and when the aggregate waiting hopper is full, respectively, and further compares the first and second state parameters. This allows for accurate determination of whether the mixing plant is experiencing an abnormal measurement fault. This method can be implemented on the existing mixing plant structure without adding new structures, resulting in a simple structure and fewer steps. It accurately reflects whether the mixing plant has an abnormal measurement fault, thus facilitating subsequent maintenance and handling by users. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0038] Figure 1 This is a flowchart illustrating the abnormality diagnosis method for a mixing plant provided by the present invention;

[0039] Figure 2 This is a schematic diagram of the abnormality diagnosis device for the mixing plant provided by the present invention;

[0040] Figure 3 This is a schematic diagram of the mixing plant provided by the present invention;

[0041] Figure 4 This is a schematic diagram of the structure of the electronic device provided by the present invention.

[0042] Figure label:

[0043] 1. Powder metering hopper; 2. Aggregate waiting hopper; 3. Support platform; 4. Mixing host; 5. Flexible connector; 6. Weighing sensor; 110. First acquisition module; 120. First control module. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0045] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0046] The present invention provides a method, apparatus, and mixing plant for anomaly diagnosis, which are described below with reference to the accompanying drawings. Before detailing the embodiments of the invention, the overall application scenario is described first. The anomaly diagnosis method, apparatus, electronic device, and computer-readable storage medium for mixing plants according to the embodiments of the present invention can be applied locally at the mixing plant, or to cloud platforms in the Internet field, or to other types of cloud platforms in the Internet field, or to third-party devices. These third-party devices may include various types such as mobile phones, tablets, laptops, in-vehicle computers, and other smart terminals.

[0047] The following description uses only the anomaly diagnosis method applicable to mixing plants as an example. It should be understood that the anomaly diagnosis method of this embodiment can also be applied to cloud platforms and third-party devices.

[0048] like Figure 3 As shown, before introducing the abnormal diagnosis method of the mixing plant of the present invention, the structure of the mixing plant is first described. The mixing plant includes a powder metering hopper 1, an aggregate waiting hopper 2, a support platform 3, and a mixing host 4. The powder metering hopper 1 and the aggregate waiting hopper 2 are both installed on the support platform 3, and the discharge port of the powder metering hopper 1 is connected to the upper cover of the mixing host 4 through a flexible connector 5. The powder metering hopper 1 is used to meter the powder and put the set amount of powder into the mixing host 4. The aggregate waiting hopper 2 is used to store the aggregate and put the aggregate into the mixing host 4. The mixing host 4 is used to mix and stir the put-in powder and aggregate.

[0049] like Figure 1 As shown, the abnormality diagnosis method for a mixing plant according to a first aspect embodiment of the present invention includes:

[0050] Step S1: Obtain the first state parameters of the mixing station when the aggregate waiting hopper 2 is empty, and the second state parameters of the mixing station when the aggregate waiting hopper 2 is full.

[0051] Step S2: Based on the comparison results between the first state parameter and the second state parameter, determine whether the mixing plant has experienced an abnormal measurement fault.

[0052] According to the abnormal diagnosis method of the mixing plant according to an embodiment of the present invention, the principle of abnormal measurement failure is as follows: When the aggregate hopper is empty, the support platform 3 fixedly connected to the aggregate hopper does not bear excessive aggregate pressure, so the support platform 3 generally does not deform and is in a normal state. At this time, the powder metering hopper 1 usually does not have abnormal measurement failure, that is, the metering in the powder metering hopper 1 is accurate; however, when the aggregate hopper is full, the excessive aggregate in the aggregate hopper will exert greater pressure on the support platform 3, so the support platform 3 will undergo slight elastic deformation. This causes the support platform 3 to move downwards a certain distance. Since the powder metering hopper 1 is fixed on the support platform 3, it will also move downwards along with the support platform 3. It can be understood that the powder metering hopper 1 is connected to the upper cover of the mixing host 4 through the flexible connector 5. At this time, the height of the powder metering hopper 1 relative to the upper cover of the mixing host 4 decreases. Therefore, the flexible connector 5 will apply an upward supporting force to the powder metering hopper 1. Due to the existence of the supporting force applied by the flexible connector 5, the powder metering hopper 1 will have a measurement error when metering powder, that is, the mixing station will have an abnormal measurement failure.

[0053] Furthermore, the principle for determining whether an abnormal measurement fault has occurred in the method of the present invention is as follows: The method first obtains the first state parameter of the mixing station when the aggregate waiting hopper 2 is empty, and the second state parameter of the mixing station when the aggregate waiting hopper 2 is full. Then, after obtaining the above parameters, the method further compares the first state parameter and the second state parameter. At this time, by comparing the specific values ​​of the same parameter in different aggregate waiting hopper 2 loading states, it is possible to analyze whether an abnormal measurement fault has occurred in the mixing station. That is, when the values ​​of the same parameter are different in the aggregate waiting hopper 2 when it is empty and when it is full, it indicates that an abnormal measurement fault has occurred in the mixing station. At this time, the abnormal measurement fault may be caused by the soft connector 5 pressing the scale.

[0054] In related technologies, after the aggregate hopper is filled with material, the powder hopper support platform will undergo a certain elastic deformation, which may cause the soft connection below the metering hopper to push the metering hopper upward, resulting in inaccurate powder measurement values.

[0055] In summary, to address the technical problems existing in the aforementioned related technologies, this invention provides an anomaly diagnosis method for a mixing plant. This method acquires first and second state parameters of the mixing plant when the aggregate waiting hopper 2 is empty and when the aggregate waiting hopper 2 is full, respectively, and further compares the first and second state parameters. This allows for accurate determination of whether the mixing plant is experiencing an abnormal measurement fault. This method can be implemented on the existing mixing plant structure without adding new structures, resulting in a simple structure and fewer steps. It accurately reflects whether the mixing plant has an abnormal measurement fault, thus facilitating subsequent maintenance and handling by users.

[0056] According to some embodiments of the present invention, a weighing sensor 6 is provided below the powder metering hopper 1. The first state parameter includes the first weighing value of the weighing sensor 6 when the aggregate waiting hopper 2 is empty, and the second state parameter includes the second weighing value of the weighing sensor 6 when the aggregate waiting hopper 2 is full. Abnormal measurement faults include the top scale failure of the flexible connector 5.

[0057] Understandably, in this embodiment, the working principle of the anomaly diagnosis method is as follows: The powder in the powder metering hopper 1 is weighed by the weighing sensor 6. The powder metering hopper 1 is connected to the top cover of the mixing host 4 via a flexible connector 5. When the aggregate waiting hopper 2 is filled with material, it causes the support platform 3 to undergo slight elastic deformation. This may cause the flexible connector 5 below the powder metering hopper 1 to push the powder metering hopper 1 upwards, resulting in a change in the value of the weighing sensor 6. By comparing the changes in the value of the weighing sensor 6 after the aggregate waiting hopper 2 is empty and after it is filled with material, it is determined whether there is a problem, and thus whether there is a fault in the flexible connector 5 pushing the scale upwards.

[0058] Furthermore, the steps for determining whether an abnormal measurement fault has occurred at the mixing plant based on the comparison results of the first state parameter and the second state parameter specifically include:

[0059] If the difference between the first weighing value and the second weighing value is less than the set weighing difference, it is determined that there is no fault in the soft connector 5 top scale of the mixing plant.

[0060] If the difference between the first weighing value and the second weighing value is greater than the set weighing difference, it is determined that there is a fault in the soft connector 5 top scale of the mixing plant. At this time, the control of the mixing plant will issue an abnormal alarm.

[0061] Furthermore, the weighing difference is set to one percent of the first weighing value.

[0062] Thus, the control logic of this embodiment is as follows: When the aggregate waiting hopper 2 is empty, when the powder metering hopper 1 and the weighing sensor 6 have completed weighing, the first weighing value Q1 is recorded; after the metering is completed, the aggregate waiting hopper 2 starts feeding material, and after the aggregate waiting hopper 2 is full, the second weighing value Q2 of the weighing sensor 6 is recorded; compare the difference between Q2 and Q1, if the difference is less than 1% of Q1, it is considered that there is no problem, that is, there is no fault in the soft connector 5 weighing; if the difference is greater than 1% of Q1, it indicates that there is an abnormality, that is, there is a fault in the soft connector 5 weighing, and the mixing station issues an abnormal alarm, thereby prompting the user to check the installation of the soft connector 5.

[0063] According to some embodiments of the present invention, after determining that the difference between the first weighing value and the second weighing value is greater than a set weighing difference, the method further includes:

[0064] The weighing correction value is calculated based on the difference between the first weighing value and the second weighing value;

[0065] In the next weighing process of powder metering hopper 1, the measured value detected by weighing sensor 6 is corrected using the weighing correction value to obtain the corrected actual weighing value.

[0066] It is understandable that the weighing correction value can be calculated from the difference between the first weighing value and the second weighing value. In this way, in the next weighing process of the powder metering hopper 1, the weighing correction value can be directly used to correct the measured value detected by the weighing sensor 6, so that the measured value is corrected to the actual weighing value.

[0067] This embodiment ensures that even if the soft connector 5 of the mixing plant malfunctions and the user cannot repair it in time, the next weighing process of the powder metering hopper 1 can still obtain an accurate actual weighing value, thus guaranteeing the accuracy of the weighing in the powder metering hopper 1.

[0068] For example, the specific method for correcting the measured value is as follows: the weighing correction value can be calculated by the difference between the first weighing value and the second weighing value. In the subsequent weighing process, the measured value of powder measurement (that is, the measured value detected by the weighing sensor) is added to the difference between the two states (that is, the weighing correction value mentioned above) to obtain the corrected actual weighing value. That is, the measured value detected by the weighing sensor is added to the weighing correction value to obtain the corrected actual weighing value. In this way, it can be used to offset the influence of the top weighing on the powder measurement.

[0069] In summary, the anomaly diagnosis method of the present invention can realize self-diagnosis of powder metering faults in mixing plants, and can automatically correct after detecting metering errors, thereby obtaining more accurate weighing results and avoiding material waste.

[0070] The above embodiment is an example of how the present invention determines whether an abnormal measurement fault has occurred by analyzing and comparing the values ​​of the same parameter of the mixing plant under different aggregate waiting hopper 2 loading conditions. It should be noted that the abnormal diagnosis method of the present invention can also determine whether an abnormal measurement fault has occurred in the mixing plant by acquiring and analyzing other parameters. Other judgment methods will be described in detail below.

[0071] According to some embodiments of the present invention, if a deformation sensor is provided on the support platform and a feed sensor is also provided inside the powder metering hopper 1, then the anomaly diagnosis method further includes:

[0072] The deformation value of the deformation sensor and the feed rate of the feed sensor during the first detection time are obtained.

[0073] Based on the changes in deformation value and feed rate, determine whether there is an abnormal measurement fault in the mixing plant.

[0074] Specifically, abnormal measurement faults include malfunctions in the flexible connector 5 top scale. The steps to determine whether an abnormal measurement fault has occurred in the mixing plant based on changes in deformation value and feed rate include:

[0075] If the deformation value continuously increases during the first detection period and the feeding speed continuously decreases during the first detection period, it is determined that there is a fault in the soft connector 5 top scale of the mixing plant. At this time, the mixing plant is controlled to issue an abnormal alarm.

[0076] If the deformation value continuously increases during the first detection period, and the feeding speed remains unchanged or increases during the first detection period, then it can be determined that there is no fault in the soft connector 5 top scale of the mixing plant.

[0077] In summary, the specific working principle of the judgment method described in the above embodiments is as follows: the slight deformation of the support platform 3 may cause the soft connector 5 below it to have a top-weight problem. Therefore, a deformation sensor can be added to the support platform 3 to monitor the deformation of the crossbeam, and a feeding sensor can be added to the powder metering hopper 1 to monitor the feeding speed of the powder metering hopper 1. By comparing the changes in the platform deformation and the powder feeding speed, it can be determined whether there is a top-weight failure of the soft connector 5 caused by the slight deformation of the support platform 3.

[0078] The specific control logic of the judgment method described in the above embodiment is as follows: If the deformation of the support platform 3 increases while the powder feeding speed slows down, there is a risk of the soft connection top weighing failure. That is, if the deformation value continuously increases within the first detection time and the feeding speed continuously decreases within the first detection time, it is determined that there is a fault in the soft connection 5 top weighing failure in the mixing plant, and at this time, the mixing plant is controlled to issue an abnormal alarm.

[0079] According to other embodiments of the present invention, if a powder metering hopper 1 is equipped with a powder hopper pressure sensor and a mixing host 4 is equipped with a host host pressure sensor, then the abnormality diagnosis method further includes:

[0080] Acquire multiple air pressure values ​​of the powder hopper detected by the air pressure sensor during the second detection period, and multiple air pressure values ​​of the host unit detected by the air pressure sensor during the second detection period;

[0081] Based on the comparison between the air pressure detection values ​​of the powder hopper and the main unit air pressure detection values, it can be determined whether there is an abnormal measurement fault in the mixing plant.

[0082] It is understandable that air pressure differences can cause both top-mounting and bottom-mounting scale malfunctions. Therefore, abnormal measurement malfunctions mainly include top-mounting scale malfunctions and bottom-mounting scale malfunctions caused by flexible connector 5.

[0083] Specifically, the steps for determining whether the mixing plant has experienced an abnormal measurement fault, based on the comparison between the air pressure detection values ​​in the powder hopper and the main unit, include:

[0084] If the air pressure detection value of the powder hopper is determined to be greater than the air pressure detection value of the main unit throughout the second detection period, it is determined that there is a fault in the soft connector 5 of the mixing plant. At this time, the mixing plant is controlled to issue the first abnormal alarm.

[0085] If the air pressure detection value of the powder hopper is consistently lower than the air pressure detection value of the main unit during the second detection period, it is determined that there is a fault in the soft connector 5 top scale of the mixing plant. At this time, the control unit will issue a second abnormal alarm.

[0086] In summary, the specific working principle of the judgment method described in the above embodiments is as follows: In response to the weighing and top weighing failures caused by the difference between the internal air pressure of the mixing host 4 and the internal air pressure of the powder metering hopper 1, an air pressure sensor is added to each powder metering hopper 1 and the mixing host 4, and the data is monitored and compared in real time.

[0087] The specific control logic of the judgment method described in the above embodiment is as follows: Monitor and compare the changes in air pressure inside the powder metering hopper 1 and the mixing host 4. If the air pressure of the mixing host 4 is greater than that of the powder metering hopper 1 for a long period of time, it indicates that there is a risk of the scale being overturned; if the air pressure of the mixing host 4 is less than that of the powder metering hopper 1 for a long period of time, it indicates that there is a risk of the scale being pulled out.

[0088] The abnormality diagnosis device for a mixing plant provided by the present invention will be described below. The abnormality diagnosis device for a mixing plant described below can be referred to in correspondence with the abnormality diagnosis method for a mixing plant described above.

[0089] like Figure 2As shown, according to a second aspect embodiment of the present invention, the mixing plant includes a powder metering hopper 1, an aggregate waiting hopper 2, a support platform 3, and a mixing host 4. Both the powder metering hopper 1 and the aggregate waiting hopper are mounted on the support platform 3, and the discharge port below the powder metering hopper 1 is connected to the host host cover via a flexible connector 5. The abnormality diagnosis device includes:

[0090] The first acquisition module 110 is used to acquire the first state parameters of the mixing plant when the aggregate waiting hopper 2 is empty, and the second state parameters of the mixing plant when the aggregate waiting hopper 2 is full.

[0091] The first control module 120 is used to determine whether an abnormal measurement fault has occurred in the mixing plant based on the comparison result between the first state parameter and the second state parameter.

[0092] According to some embodiments of the present invention, the first control module 120 includes:

[0093] The first control submodule is used to determine that if the difference between the first weighing value and the second weighing value is less than the set weighing difference, the mixing plant does not have a fault in the soft connector 5 top scale; or, if the difference between the first weighing value and the second weighing value is greater than the set weighing difference, the mixing plant has a fault in the soft connector 5 top scale.

[0094] According to one embodiment of the present invention, the abnormality diagnosis device for the mixing plant further includes:

[0095] The calculation module is used to calculate the weighing correction value based on the difference between the first weighing value and the second weighing value;

[0096] The correction module is used to correct the measured value detected by the weighing sensor 6 using the weighing correction value during the next weighing process of the powder metering hopper 1, so as to obtain the corrected actual weighing value.

[0097] According to some embodiments of the present invention, the abnormality diagnosis device for the mixing plant further includes:

[0098] The second acquisition module is used to acquire the deformation value change of the deformation sensor during the first detection time and the feed rate change of the feed sensor during the first detection time.

[0099] The second control module is used to determine whether there is an abnormal measurement fault in the mixing plant based on the changes in deformation value and feed rate.

[0100] According to one embodiment of the present invention, the second control module includes:

[0101] The second control submodule is used to determine that if the deformation value continuously increases during the first detection period and the feeding speed continuously decreases during the first detection period, then it is determined that there is a fault in the soft connector 5 top scale of the mixing plant, and the mixing plant is controlled to issue an abnormal alarm; or, if it is determined that the deformation value continuously increases during the first detection period and the feeding speed remains unchanged or increases during the first detection period, then it is determined that there is no fault in the soft connector 5 top scale of the mixing plant.

[0102] According to one embodiment of the present invention, the abnormality diagnosis device for the mixing plant further includes:

[0103] The third acquisition module is used to acquire multiple powder hopper air pressure detection values ​​detected by the powder hopper air pressure sensor during the second detection period, and multiple host air pressure detection values ​​detected by the host air pressure sensor during the second detection period.

[0104] The third control module is used to determine whether there is an abnormal measurement fault in the mixing plant based on the comparison between the air pressure detection value of the powder hopper and the air pressure detection value of the main unit.

[0105] According to one embodiment of the present invention, the third control module includes:

[0106] The third control submodule is used to determine if the powder hopper air pressure detection value is consistently greater than the main unit air pressure detection value during the second detection period. If so, it is determined that there is a fault in the soft connector 5 of the mixing plant, and the mixing plant will issue a first abnormal alarm. Alternatively, if the powder hopper air pressure detection value is consistently less than the main unit air pressure detection value during the second detection period, it is determined that there is a fault in the soft connector 5 of the mixing plant, and the mixing plant will issue a second abnormal alarm. Figure 3 As shown, the mixing plant according to the third aspect of the present invention includes a powder metering hopper 1, an aggregate waiting hopper 2, a support platform 3 and a mixing host 4. The powder metering hopper 1 and the aggregate waiting hopper 2 are both installed on the support platform 3, and the discharge port below the powder metering hopper 1 is connected to the host cover through a flexible connector 5.

[0107] The mixing plant also includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the abnormal diagnosis method for the mixing plant as described in the first aspect of the present invention.

[0108] The mixing plant and its abnormality diagnosis device according to the embodiments of the present invention have similar working principles and effects to the abnormality diagnosis method of the mixing plant described in the first aspect of the present invention, and will not be repeated here.

[0109] Figure 4 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 4As shown, the electronic device may include a processor 810, a communication interface 820, a memory 830, and a communication bus 840. The processor 810, communication interface 820, and memory 830 communicate with each other via the communication bus 840. The processor 810 can call logical instructions in the memory 830 to execute an abnormal diagnosis method for the mixing plant. This method includes: acquiring a first state parameter of the mixing plant when the aggregate waiting hopper 2 is empty, and a second state parameter of the mixing plant when the aggregate waiting hopper 2 is full; and determining whether an abnormal measurement fault has occurred in the mixing plant based on the comparison result of the first and second state parameters.

[0110] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0111] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the abnormal diagnosis method for the mixing plant provided by the above methods. The method includes: acquiring a first state parameter of the mixing plant when the aggregate waiting hopper 2 is empty, and a second state parameter of the mixing plant when the aggregate waiting hopper 2 is full; and determining whether the mixing plant has an abnormal measurement fault based on the comparison result of the first state parameter and the second state parameter.

[0112] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When executed by a processor, the computer program implements an abnormal diagnosis method for a mixing plant provided by the above methods. The method includes: acquiring a first state parameter of the mixing plant when the aggregate waiting hopper 2 is empty, and a second state parameter of the mixing plant when the aggregate waiting hopper 2 is full; and determining whether an abnormal measurement fault has occurred in the mixing plant based on the comparison result between the first state parameter and the second state parameter.

[0113] The device embodiments described above are merely illustrative. 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; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0114] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for diagnosing anomalies in a mixing plant, characterized in that, The mixing plant includes a powder metering hopper, an aggregate waiting hopper, a support platform, and a mixing host. The powder metering hopper and the aggregate waiting hopper are both installed on the support platform, and the discharge port of the powder metering hopper is connected to the upper cover of the mixing host through a flexible connector. The abnormality diagnosis method of the mixing plant includes: Obtain the first state parameter of the mixing station when the aggregate waiting hopper is empty, and the second state parameter of the mixing station when the aggregate waiting hopper is full; Based on the comparison between the first state parameter and the second state parameter, it is determined whether the mixing plant has experienced an abnormal measurement fault.

2. The method for diagnosing abnormalities in a mixing plant according to claim 1, characterized in that, A weighing sensor is provided below the powder metering hopper. The first state parameter includes the first weighing value of the weighing sensor when the aggregate waiting hopper is empty. The second state parameter includes the second weighing value of the weighing sensor when the aggregate waiting hopper is full. The abnormal measurement fault includes a top scale fault of the flexible connector. The step of determining whether the mixing plant has experienced an abnormal measurement fault based on the comparison result of the first state parameter and the second state parameter specifically includes: If the difference between the first weighing value and the second weighing value is less than the set weighing difference, it is determined that the mixing plant does not have a fault in the soft connector top scale. If the difference between the first weighing value and the second weighing value is greater than the set weighing difference, it is determined that the mixing plant has a fault in the soft connector top scale.

3. The method for diagnosing abnormalities in a mixing plant according to claim 2, characterized in that, The set weight difference is one percent of the first weight value.

4. The method for diagnosing abnormalities in a mixing plant according to claim 2, characterized in that, After determining that the difference between the first weighing value and the second weighing value is greater than the set weighing difference, and judging that the mixing plant has a fault in the flexible connector top scale, the method further includes: The weighing correction value is calculated based on the difference between the first weighing value and the second weighing value; In the next weighing process of the powder metering hopper, the measured value detected by the weighing sensor is corrected using the weighing correction value to obtain the corrected actual weighing value.

5. The method for diagnosing abnormalities in a mixing plant according to any one of claims 1 to 4, characterized in that, The support platform is equipped with a deformation sensor, and the powder metering hopper is also equipped with a feeding sensor. The abnormality diagnosis method also includes: The deformation value of the deformation sensor during the first detection time and the feed rate of the feed sensor during the first detection time are obtained. Based on the changes in deformation value and the changes in feed rate, determine whether the mixing station has experienced an abnormal measurement fault.

6. The method for diagnosing abnormalities in a mixing plant according to claim 5, characterized in that, The abnormal measurement faults include a fault in the flexible connector top scale. Therefore, the step of determining whether the mixing plant has experienced an abnormal measurement fault based on the changes in deformation value and the changes in feed rate specifically includes: If the deformation value continuously increases during the first detection period and the feeding speed continuously decreases during the first detection period, it is determined that the mixing plant has a fault in the soft connector top scale. At this time, the mixing plant is controlled to issue an abnormal alarm. If the deformation value continuously increases during the first detection period, and the feeding speed remains unchanged or increases during the first detection period, then it is determined that the mixing plant does not have a fault in the soft connector top scale.

7. The method for diagnosing abnormalities in a mixing plant according to any one of claims 1 to 4, characterized in that, The powder metering hopper is equipped with a powder hopper air pressure sensor, and the mixing host is equipped with a host air pressure sensor. The abnormality diagnosis method also includes: The powder hopper air pressure sensor acquires multiple powder hopper air pressure values ​​detected during the second detection period, and the host air pressure sensor acquires multiple host air pressure values ​​detected during the second detection period. Based on the comparison between the air pressure detection value of the powder hopper and the air pressure detection value of the main unit, it is determined whether the mixing station has an abnormal measurement fault.

8. The method for diagnosing abnormalities in a mixing plant according to claim 7, characterized in that, The abnormal measurement faults include soft connector top scale faults and soft connector pull scale faults. The step of determining whether the mixing plant has experienced an abnormal measurement fault based on the comparison between the powder hopper air pressure detection value and the main unit air pressure detection value specifically includes: If the air pressure detection value of the powder hopper is determined to be greater than the air pressure detection value of the main unit throughout the second detection period, it is determined that the mixing plant has a fault in the soft connector scale pulling. At this time, the mixing plant is controlled to issue a first abnormal alarm. If the air pressure detection value of the powder hopper is determined to be lower than the air pressure detection value of the main unit throughout the second detection period, it is determined that the mixing plant has a fault in the soft connector top scale. At this time, the mixing plant is controlled to issue a second abnormal alarm.

9. An abnormality diagnosis device for a mixing plant, characterized in that, The mixing plant includes a powder metering hopper, an aggregate waiting hopper, a support platform, and a mixing host. The powder metering hopper and the aggregate waiting hopper are both installed on the support platform, and the discharge port of the powder metering hopper is connected to the upper cover of the mixing host through a flexible connector. The abnormality diagnosis device for the mixing plant includes: The first acquisition module is used to acquire a first state parameter of the mixing station when the aggregate waiting hopper is empty, and a second state parameter of the mixing station when the aggregate waiting hopper is full. The first control module is used to determine whether the mixing plant has an abnormal measurement fault based on the comparison result between the first state parameter and the second state parameter.

10. A mixing plant, characterized in that, It includes a powder metering hopper, an aggregate waiting hopper, a support platform, and a mixing host. The powder metering hopper and the aggregate waiting hopper are both installed on the support platform, and the discharge port below the powder metering hopper is connected to the top cover of the mixing host through a flexible connector. The mixing plant further includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the abnormal diagnosis method for the mixing plant as described in any one of claims 1 to 8.

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