CN117076959A - Big data visual interaction system - Google Patents
Big data visual interaction system Download PDFInfo
- Publication number
- CN117076959A CN117076959A CN202311344995.9A CN202311344995A CN117076959A CN 117076959 A CN117076959 A CN 117076959A CN 202311344995 A CN202311344995 A CN 202311344995A CN 117076959 A CN117076959 A CN 117076959A
- Authority
- CN
- China
- Prior art keywords
- time
- value
- pump
- real
- pump operation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 230000000007 visual effect Effects 0.000 title claims abstract description 25
- 230000003993 interaction Effects 0.000 title claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims abstract description 110
- 238000011156 evaluation Methods 0.000 claims abstract description 88
- 238000012545 processing Methods 0.000 claims abstract description 19
- 238000004891 communication Methods 0.000 claims abstract description 6
- 238000012423 maintenance Methods 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 15
- 230000002452 interceptive effect Effects 0.000 claims description 9
- 238000013079 data visualisation Methods 0.000 claims description 8
- 230000006641 stabilisation Effects 0.000 claims description 3
- 238000011105 stabilization Methods 0.000 claims description 3
- 230000000087 stabilizing effect Effects 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 2
- 238000003860 storage Methods 0.000 description 7
- 230000002159 abnormal effect Effects 0.000 description 5
- 230000008901 benefit Effects 0.000 description 4
- 238000004590 computer program Methods 0.000 description 4
- 235000013305 food Nutrition 0.000 description 4
- 238000007726 management method Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000007274 generation of a signal involved in cell-cell signaling Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000002411 adverse Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 239000000839 emulsion Substances 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 239000000499 gel Substances 0.000 description 1
- -1 jams Substances 0.000 description 1
- 238000005461 lubrication Methods 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002674 ointment Substances 0.000 description 1
- 238000013021 overheating Methods 0.000 description 1
- 239000006072 paste Substances 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000035484 reaction time Effects 0.000 description 1
- 235000015067 sauces Nutrition 0.000 description 1
- 239000002002 slurry Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04C—ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; ROTARY-PISTON, OR OSCILLATING-PISTON, POSITIVE-DISPLACEMENT PUMPS
- F04C14/00—Control of, monitoring of, or safety arrangements for, machines, pumps or pumping installations
- F04C14/28—Safety arrangements; Monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/10—Pre-processing; Data cleansing
- G06F18/15—Statistical pre-processing, e.g. techniques for normalisation or restoring missing data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Probability & Statistics with Applications (AREA)
- Mechanical Engineering (AREA)
- Details And Applications Of Rotary Liquid Pumps (AREA)
Abstract
The application discloses a big data visual interaction system, in particular to the technical field of data interaction, which is used for solving the problem that the prior screw pump fault cannot be accurately pre-warned in advance due to the fact that the real-time state of the screw pump can be comprehensively analyzed according to a large amount of data; the system comprises a data processing module, and an information acquisition module, a real-time monitoring module, a comprehensive judging module and a visual interaction module which are in communication connection with the data processing module; the actual state condition of the screw pump operation is judged by monitoring the operation state of the screw pump in real time and calculating a pump operation evaluation coefficient and comparing the pump operation evaluation coefficient with a first pump operation evaluation threshold value and a second pump operation evaluation threshold value; the comprehensive judging module is combined with the real-time monitoring signal and can judge the comprehensive running state of the screw pump; the visual interaction module combines the signals of the real-time monitoring and comprehensive judging module, and the real-time running state of the screw pump is displayed through the image, so that management personnel can know the running state of the screw pump better.
Description
Technical Field
The application relates to the technical field of data interaction, in particular to a big data visual interaction system.
Background
Visual interaction refers to the process of exploring, analyzing and operating data by converting the data or information into visual forms such as a line graph, a bar graph, a scatter graph, a map and the like; by utilizing big data analysis and visualization technology, a huge data set is converted into a visual graph which is easy to understand and explore, and a user-friendly interactive interface is provided, so that a user can intuitively explore and analyze data to find patterns, trends and relativity in the data; big data refers to a data set which is huge in scale, various in types and high in speed, and the data is usually characterized by high-speed generation, diversification, complexity and high value, and the generation of the big data mainly comes from the development and popularization of various information technologies such as the Internet, sensors, social media, mobile equipment and the like.
Screw pumps are widely used in food processing for conveying various foods, such as high viscosity food slurries, sauces, pastes, ointments, emulsions, jams, gels, and the like; the poor real-time status of screw pumps in food processing can lead to various negative effects, resulting in production line downtime, reduced yields or unstable product quality; the existing screw pump fault condition is usually known after an accident, and the real-time state of the screw pump cannot be comprehensively analyzed according to a large amount of data, so that the screw pump fault cannot be accurately pre-warned in advance, the safety and the benefits of enterprises are influenced, and management staff cannot well interact with the screw pump according to the state of the screw pump.
In order to solve the above problems, a technical solution is now provided.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present application provide a big data visualization interactive system to solve the problems set forth in the background art.
In order to achieve the above purpose, the present application provides the following technical solutions:
the big data visual interaction system comprises a data processing module, and an information acquisition module, a real-time monitoring module, a comprehensive judging module and a visual interaction module which are in communication connection with the data processing module;
the information acquisition module acquires monitoring delay information, pump body pressure information, rotation information and vibration information, and sends the monitoring delay information, the pump body pressure information, the rotation information and the vibration information to the data processing module to calculate and obtain a pump operation evaluation coefficient;
the real-time monitoring module sends out pump operation early warning signals of different grades through comparison of the pump operation evaluation coefficient with a first pump operation evaluation threshold and a second pump operation evaluation threshold;
the comprehensive judging module judges the comprehensive running state of the screw pump in a period of time according to the signal generated by the real-time monitoring module;
the visual interaction module displays signals generated by the real-time monitoring module and the comprehensive judging module through images; the pump operation evaluation coefficient and the operation time are displayed by images.
In a preferred embodiment, the information acquisition module acquires monitoring delay information, pump body pressure information, rotation information, and vibration information;
the monitoring delay information is represented by a monitoring delay evaluation value, the pump body pressure information is represented by a pressure influence value, the vibration information is represented by a vibration deviation value, and the rotation information is represented by a rotation ratio.
In a preferred embodiment, the acquisition logic for monitoring the delay estimate is:
marking the time difference between the generation of the input signal and the generation of the output signal as a monitoring delay, setting a monitoring delay threshold value, and counting the times that the monitoring delay is larger than the monitoring delay threshold value within the time t; calculating an average value of the monitoring delay in the time t, wherein the expression of the monitoring delay evaluation value is as follows:wherein->The monitoring delay evaluation value, the average value of the monitoring delay, the number of times the monitoring delay is greater than the monitoring delay threshold value, and the monitoring delay threshold value are respectively.
In a preferred embodiment, the pressure influence value acquisition logic is:
monitoring pressure values of different parts of a screw pump body in real time, acquiring real-time pressure deviation values, and setting a pump body pressure threshold; acquiring a time duty ratio of the real-time pressure value in the time t, which is not in the pump body pressure threshold value, and marking the time duty ratio of the real-time pressure value in the pump body pressure threshold value in the time t as a pressure stabilizing value;
the expression of the pressure influence value is:wherein->Respectively a pressure influence value, a real-time pressure deviation value and a pressure stabilization value;
the rotation ratio is the ratio of the rotation speed deviation value of the screw pump to the preset rotation speed; marking the rotation ratio asThe method comprises the steps of carrying out a first treatment on the surface of the Marking the vibration deviation value as +.>。
In a preferred embodiment, the data processing module calculates the pump operation evaluation coefficient by normalizing the monitoring delay evaluation value, the pressure influence value, the rotation ratio and the vibration deviation value acquired by the information acquisition module, wherein the expression is:the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Evaluating coefficients for pump operation->Preset proportional coefficients for monitoring the delay evaluation value, the pressure influence value, the rotation ratio and the vibration deviation value respectively, andare all greater than 0.
In a preferred embodiment, a pump operation evaluation first threshold value and a pump operation evaluation second threshold value are set, the pump operation evaluation first threshold value being smaller than the pump operation evaluation second threshold value;
when the pump operation evaluation coefficient is larger than a pump operation evaluation second threshold value, the real-time monitoring module generates a three-level pump operation early warning signal;
when the pump operation evaluation coefficient is smaller than or equal to the pump operation evaluation second threshold value and larger than or equal to the pump operation evaluation first threshold value, the real-time monitoring module generates a secondary pump operation early warning signal;
when the pump operation evaluation coefficient is smaller than the first pump operation evaluation threshold, the real-time monitoring module generates a primary pump operation early warning signal.
In a preferred embodiment, the running time of the screw pump is obtained in real time and is marked as time K;
counting total quantity of generated pump operation early warning signals of a real-time monitoring module in time K, and marking the quantity of primary pump operation early warning signals, the quantity of secondary pump operation early warning signals and the quantity of tertiary pump operation early warning signals as respectively；
When (when)The comprehensive judging module generates a stop operation signal;
when (when)The comprehensive judging module generates a maintenance and overhaul signal;
when (when)The comprehensive judging module generates a normal operation signal;
a threshold is determined for the integrated operation.
The big data visual interaction system has the technical effects and advantages that:
1. the actual state of the screw pump can be primarily judged, potential faults can be timely detected and early warned by monitoring the running state of the screw pump in real time and calculating the pump running evaluation coefficient and comparing the pump running evaluation coefficient with the first pump running evaluation threshold and the second pump running evaluation threshold, so that the maintenance cost and the downtime of the screw pump are reduced.
2. The comprehensive judgment module combines the real-time monitoring signals, and can rapidly judge the comprehensive operation state of the screw pump according to the operation early warning signal quantity of the screw pump and the set threshold value. By stopping operation and arranging maintenance in time, potential accidents are avoided; for the unstable running condition, maintenance and overhaul can be timely arranged, and the reliability and safety of the screw pump are improved.
3. The visual interaction module combines the signals of the real-time monitoring and comprehensive judging module, and displays the real-time running state of the screw pump through images, so that a manager can intuitively know the condition of the screw pump; the method further improves the visualization of information, helps management personnel to better know the running condition of the screw pump, is beneficial to improving the operation and maintenance efficiency and reducing the fault risk, and has remarkable benefits.
Drawings
FIG. 1 is a schematic diagram of a big data visual interactive system of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
Fig. 1 shows a schematic structural diagram of the big data visual interaction system of the present application, which comprises a data processing module, and an information acquisition module, a real-time monitoring module, a comprehensive judgment module and a visual interaction module which are in communication connection with the data processing module.
The information acquisition module acquires monitoring delay information, pump body pressure information, rotation information and vibration information, and sends the monitoring delay information, the pump body pressure information, the rotation information and the vibration information to the data processing module to calculate and obtain a pump operation evaluation coefficient.
The real-time monitoring module sends out pump operation early warning signals of different grades through comparison of the pump operation evaluation coefficient with the first threshold value and the second threshold value of the pump operation evaluation.
And the comprehensive judgment module judges the comprehensive running state of the screw pump in a period of time according to the signal generated by the real-time monitoring module.
The visual interaction module displays signals generated by the real-time monitoring module and the comprehensive judging module through images; the pump operation evaluation coefficient and the operation time are displayed by images.
Example 2
The information acquisition module acquires monitoring delay information, pump body pressure information, rotation information and vibration information; the real-time running state of the screw pump can be embodied by monitoring delay information, pump body pressure information, rotation information and vibration information.
Monitoring the flow rate of the screw pump can know the speed and stability of the liquid conveyed by the screw pump, and abnormal flow rate change can mean performance problems of the screw pump or instability of fluid conveying, and commonly used flow meters comprise magnetic turbine flow meters, electromagnetic flow meters, pulse metering flow meters and the like; the flowmeter can directly measure the liquid flow rate conveyed by the screw pump and provide accurate flow rate reading; the quality of the real-time state of the flowmeter has a larger influence on the flow of the screw pump, and when the real-time state of the flowmeter is poor, the flow condition of the screw pump cannot be timely and accurately acquired, so that the running state of the screw pump cannot be timely known.
The method comprises the steps of collecting monitoring delay information, wherein the monitoring delay information is embodied by monitoring delay evaluation values, and the acquisition logic of the monitoring delay evaluation values is as follows:
recording the time points of the input signal generation and output signal generation of the flowmeter, and calculating the input signal generation and output signalThe time difference between the generation of the numbers is marked as a monitoring delay, a monitoring delay threshold is set, the times that the monitoring delay is larger than the monitoring delay threshold in the time t are counted, the average value of the monitoring delay in the time t is calculated, and then the expression of the monitoring delay evaluation value is as follows:wherein->The monitoring delay evaluation value, the average value of the monitoring delay, the number of times the monitoring delay is greater than the monitoring delay threshold value, and the monitoring delay threshold value are respectively.
When the monitoring delay is larger than the monitoring delay threshold, the delay of the flow of the screw pump is higher, and the problem that the monitoring of the screw pump by the flowmeter is not timely exists.
The larger the monitoring delay evaluation value is, the less timely the monitoring of the screw pump by the flowmeter is, the more easily the screw pump is abnormal, the less timely the reaction time to the abnormal occurrence is, and therefore the loss is caused.
Monitoring of the screw pump body is also critical, and when the screw pump body is actually running, monitoring the screw pump body pressure can ensure that the screw pump works normally within a safe pressure range, and faults or performance degradation of the screw pump caused by too high or too low pressure are avoided, for example, a sudden increase in the screw pump body pressure can indicate blockage or pipeline blockage, and a sudden decrease in the screw pump body pressure can indicate pump failure or pump inlet problems.
The pump body pressure information is collected and embodied through a pressure influence value, and the acquisition logic of the pressure influence value is as follows:
installing pressure sensors directly in different parts of the screw pump body, including but not limited to, on the inlet and outlet pipes and at the connection between the pump body and the valve; monitoring pressure values of different parts of a screw pump body in real time, acquiring real-time pressure deviation values, and setting a pump body pressure threshold; and acquiring the time duty ratio of the real-time pressure value in the time t, which is not in the pump body pressure threshold value, and marking the time duty ratio of the real-time pressure value in the pump body pressure threshold value in the time t as a pressure stabilizing value.
The real-time pressure deviation value is the deviation value between the real-time pressure value with the maximum deviation pump body pressure threshold value in different parts and the pump body pressure threshold value, and can reflect the worst case of the whole screw pump body; the pump body pressure threshold is set in a one-to-one correspondence with different locations because each location has different pressure requirements.
The pump body pressure threshold is set according to the safety pressure range of the screw pump, for example, 92% of the safety pressure range of the screw pump, but is not limited to 92% of the safety pressure range of the screw pump.
The expression of the pressure influence value is:wherein->Respectively a pressure influence value, a real-time pressure deviation value and a pressure stabilization value; the pressure influence value is integrated, so that the real-time pressure condition of the screw pump body is represented, and the integrated condition of the pressure in the time t is also represented; the larger the pressure influence value is, the more unstable the pressure of the screw pump body is, and the larger the adverse influence on production is.
Rotation information is collected and embodied through rotation ratio.
Screw pump speed refers to the speed at which the screw pump rotates, typically expressed in Revolutions Per Minute (RPM). The rotational speed of the screw pump is directly related to the performance and operating conditions of the screw pump.
In normal operation, the screw pump should be operated at a design rotational speed. If the screw pump speed is abnormally deviated from the design range, the screw pump may be indicated to have problems such as overload, failure or improper adjustment; the rotation speed of the screw pump is closely related to the efficiency of the screw pump, and the screw pump can be ensured to run at the optimal working point by the proper rotation speed of the screw pump so as to realize the highest efficiency; an abnormal increase in screw pump speed may indicate that the screw pump is in an overload condition. Excessive screw pump speeds may cause excessive screw pump load operation, possibly causing wear, overheating, and other malfunctions; too high or too low a screw pump speed can have adverse effects.
The rotation ratio is the ratio of the rotation speed deviation value of the screw pump to the preset rotation speed; marking the rotation ratio asThe larger the rotation ratio is, the rotation speed of the screw pump is not in the optimal rotation speed range, and the potential safety hazard of screw pump faults exists.
The deviation value of the rotation speed of the screw pump is a deviation value of the rotation speed of the screw pump and a preset rotation speed, and the preset rotation speed is the optimal rotation speed of the screw pump during operation.
Vibration information is collected and embodied through vibration deviation values.
In a screw pump, the main vibration source of the screw pump comprises a screw bearing, a motor bearing and a shaft seal; the vibration of the screw bearing can reflect the state of the bearing, such as lubrication condition, bearing abrasion, unbalance and the like, and abnormal vibration can indicate that the bearing has a problem and needs to be checked and maintained; screw bearings are one of the most important components in screw pumps, and their vibration conditions can provide critical operating state information of the screw pump.
If the vibrations of the screw bearings exceed the normal range, the following may be indicated:
bearing wear or damage: excessive vibration may indicate problems such as wear, damage or loosening of the screw bearings, resulting in unstable bearings; imbalance of: imbalance of the rotating components of the screw pump may cause increased vibration of the screw bearings; imbalance is often caused by improper assembly, part damage, or impeller blockage; too little vibration of the screw bearings may indicate the following: bearing overtightening: too little vibration may be caused by too tight screw bearings.
Acquiring a vibration value of a screw bearing in real time, wherein the vibration value is a vibration speed; setting a preset vibration range, wherein the vibration deviation value is the deviation value between the vibration value and the preset vibration range; marking vibration deviation values asThe method comprises the steps of carrying out a first treatment on the surface of the Vibration typeThe larger the deviation value is, the vibration of the screw bearing does not reach the safety requirement.
The preset vibration range is set according to the safe vibration range, for example, the preset vibration range is set to 85% of the safe vibration range.
The data processing module calculates a pump operation evaluation coefficient through normalization processing on the monitoring delay evaluation value, the pressure influence value, the rotation ratio and the vibration deviation value acquired by the information acquisition module, and the expression is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Evaluating coefficients for pump operation->Preset proportionality coefficients for monitoring the delay evaluation value, the pressure influence value, the rotation ratio and the vibration deviation value respectively, and +.>Are all greater than 0.
The larger the pump operation evaluation coefficient is, the worse the real-time operation state of the screw pump is.
Setting a pump operation evaluation first threshold and a pump operation evaluation second threshold, wherein the pump operation evaluation first threshold is less than the pump operation evaluation second threshold; the setting of the first threshold value for pump operation evaluation and the second threshold value for pump operation evaluation is performed according to the magnitude of the pump operation evaluation coefficient, and actual conditions such as actual conditions of screw pump operation, screw pump model, operation state, operation safety requirement and the like in practice, and will not be described herein.
And the real-time monitoring module judges the actual state condition of the screw pump operation according to the comparison of the pump operation evaluation coefficient with the first threshold value and the second threshold value of the pump operation evaluation, so as to early warn in advance.
When the pump operation evaluation coefficient is larger than a pump operation evaluation second threshold value, the real-time monitoring module generates a three-level pump operation early warning signal; the screw pump is now operating poorly, including having failed and with a high probability being about to fail.
When the pump operation evaluation coefficient is smaller than or equal to the pump operation evaluation second threshold value and larger than or equal to the pump operation evaluation first threshold value, the real-time monitoring module generates a secondary pump operation early warning signal; at the moment, the running state of the screw pump is general, the probability of faults is low compared with the probability of generating a three-level pump running early warning signal; the screw pump may continue to operate for a period of time.
When the pump operation evaluation coefficient is smaller than a first pump operation evaluation threshold, the real-time monitoring module generates a primary pump operation early warning signal; at the moment, the running state of the screw pump is good, and no measures are needed.
The higher the level of the pump operation warning signal, the worse the operation state of the screw pump.
The actual state of the screw pump can be primarily judged by monitoring the running state of the screw pump in real time and calculating a pump running evaluation coefficient and comparing the pump running evaluation coefficient with a first pump running evaluation threshold value and a second pump running evaluation threshold value, so that corresponding maintenance and repair measures can be timely adopted to ensure the normal running and reliability of the screw pump; potential faults are detected and early-warned in time, so that maintenance cost and downtime of the screw pump are reduced, production efficiency and reliability of equipment are improved, data support is provided for screw pump maintenance and fault diagnosis, and the screw pump maintenance plan is optimized and the service life of the equipment is prolonged.
The comprehensive judgment module acquires the signal generated by the real-time monitoring module, and judges the comprehensive running state of the screw pump in a period of time according to the signal generated by the real-time monitoring module.
And acquiring the running time of the screw pump in real time, and marking the running time as time K.
Counting total quantity of generated pump operation early warning signals of a real-time monitoring module in time K, and marking the quantity of primary pump operation early warning signals, the quantity of secondary pump operation early warning signals and the quantity of tertiary pump operation early warning signals as respectively。
The comprehensive judgment module judges the comprehensive operation state of the screw pump in time K according to the number of the primary pump operation early warning signals, the number of the secondary pump operation early warning signals and the number of the tertiary pump operation early warning signals.
When (when)And when the comprehensive judging module generates a stop operation signal, the operation of the screw pump is immediately stopped, and a professional technician is immediately arranged for maintenance.
And judging the influence of the number of the secondary pump operation early warning signals on the comprehensive operation state of the screw pump.
When (when)At the moment, the comprehensive judging module generates a maintenance and overhaul signal, and professional technicians are arranged to maintain the screw pump after the operation is finished; the number of the secondary pump operation early warning signals is large, so that the screw pump is unstable in operation in time K, and accidents are easy to occur.
When (when)At this time, the comprehensive judgment module generates a normal operation signal without taking measures.
For the comprehensive operation judgment threshold, the comprehensive operation judgment threshold is set by a person skilled in the art according to the actual operation condition of the screw pump and the change of the time K, and will not be described here again.
The comprehensive judgment module combines the real-time monitoring signals, and can rapidly judge the comprehensive operation state of the screw pump according to the operation early warning signal quantity of the screw pump and the set threshold value. By stopping operation and arranging maintenance in time, potential accidents are avoided; for the unstable running condition, maintenance and overhaul can be timely arranged, and the reliability and safety of the screw pump are improved.
The visual interaction module displays signals generated by the real-time monitoring module and the comprehensive judging module through images according to signals generated by the real-time monitoring module and the comprehensive judging module, and for pump operation early warning signals generated by the real-time monitoring module, management staff can send instructions to professional technicians according to the pump operation early warning signals so as to take measures to the screw pump most quickly.
According to the signals generated by the comprehensive judgment module, the manager sends out instructions according to different signals, and different measures are arranged.
The visual interaction module displays the pump operation evaluation coefficient and the operation time through images; for example, using a two-dimensional coordinate system, in a display device to more intuitively reflect the real-time operating state of the screw pump.
The visual interaction module combines the signals of the real-time monitoring and comprehensive judging module, and displays the real-time running state of the screw pump through images, so that a manager can intuitively know the condition of the screw pump. For the pump operation early warning signal, the manager can rapidly instruct professional technicians to take measures to ensure timely repair. According to the signals of the comprehensive judging module, the manager can make corresponding instructions and arrangements according to different conditions. The pump operation evaluation coefficient and the operation time are displayed through a two-dimensional coordinate system, so that the visualization of information is further improved, and management staff is helped to better know the operation condition of the screw pump; the application of the visual interaction module is beneficial to improving operation and maintenance efficiency and reducing fault risks, and has obvious benefits.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (7)
1. The big data visual interaction system is characterized by comprising a data processing module, and an information acquisition module, a real-time monitoring module, a comprehensive judging module and a visual interaction module which are in communication connection with the data processing module;
the information acquisition module acquires monitoring delay information, pump body pressure information, rotation information and vibration information, and sends the monitoring delay information, the pump body pressure information, the rotation information and the vibration information to the data processing module to calculate and obtain a pump operation evaluation coefficient;
the real-time monitoring module sends out pump operation early warning signals of different grades through comparison of the pump operation evaluation coefficient with a first pump operation evaluation threshold and a second pump operation evaluation threshold;
the comprehensive judging module judges the comprehensive running state of the screw pump in a period of time according to the signal generated by the real-time monitoring module;
the visual interaction module displays signals generated by the real-time monitoring module and the comprehensive judging module through images; the pump operation evaluation coefficient and the operation time are displayed by images.
2. The big data visualization interactive system of claim 1, wherein: the information acquisition module acquires monitoring delay information, pump body pressure information, rotation information and vibration information;
the monitoring delay information is represented by a monitoring delay evaluation value, the pump body pressure information is represented by a pressure influence value, the vibration information is represented by a vibration deviation value, and the rotation information is represented by a rotation ratio.
3. The big data visualization interactive system of claim 2, wherein: the acquisition logic of the monitoring delay evaluation value is as follows:
marking the time difference between the generation of the input signal and the generation of the output signal as a monitoring delay, setting a monitoring delay threshold value, and counting the times that the monitoring delay is larger than the monitoring delay threshold value within the time t; calculating an average value of the monitoring delay in the time t, wherein the expression of the monitoring delay evaluation value is as follows:wherein->The monitoring delay evaluation value, the average value of the monitoring delay, the number of times the monitoring delay is greater than the monitoring delay threshold value, and the monitoring delay threshold value are respectively.
4. The big data visualization interactive system of claim 2, wherein: the acquisition logic of the pressure influence value is as follows:
monitoring pressure values of different parts of a screw pump body in real time, acquiring real-time pressure deviation values, and setting a pump body pressure threshold; acquiring a time duty ratio of the real-time pressure value in the time t, which is not in the pump body pressure threshold value, and marking the time duty ratio of the real-time pressure value in the pump body pressure threshold value in the time t as a pressure stabilizing value;
the expression of the pressure influence value is:wherein->Respectively a pressure influence value, a real-time pressure deviation value and a pressure stabilization value;
the rotation ratio is the ratio of the rotation speed deviation value of the screw pump to the preset rotation speed; marking the rotation ratio asThe method comprises the steps of carrying out a first treatment on the surface of the Marking the vibration deviation value as +.>。
5. The big data visualization interactive system of claim 2, wherein: the data processing module calculates a pump operation evaluation coefficient through normalization processing on the monitoring delay evaluation value, the pressure influence value, the rotation ratio and the vibration deviation value acquired by the information acquisition module, and the expression is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Evaluating coefficients for pump operation->Preset proportionality coefficients for monitoring the delay evaluation value, the pressure influence value, the rotation ratio and the vibration deviation value respectively, and +.>Are all greater than 0.
6. The big data visualization interactive system of claim 5, wherein: setting a pump operation evaluation first threshold value and a pump operation evaluation second threshold value, wherein the pump operation evaluation first threshold value is smaller than the pump operation evaluation second threshold value;
when the pump operation evaluation coefficient is larger than a pump operation evaluation second threshold value, the real-time monitoring module generates a three-level pump operation early warning signal;
when the pump operation evaluation coefficient is smaller than or equal to the pump operation evaluation second threshold value and larger than or equal to the pump operation evaluation first threshold value, the real-time monitoring module generates a secondary pump operation early warning signal;
when the pump operation evaluation coefficient is smaller than the first pump operation evaluation threshold, the real-time monitoring module generates a primary pump operation early warning signal.
7. The big data visualization interactive system of claim 6, wherein: acquiring the running time of the screw pump in real time, and marking the running time as time K;
counting total quantity of generated pump operation early warning signals of a real-time monitoring module in time K, and marking the quantity of primary pump operation early warning signals, the quantity of secondary pump operation early warning signals and the quantity of tertiary pump operation early warning signals as respectively；
When (when)The comprehensive judging module generates a stop operation signal;
when (when)The comprehensive judging module generates a maintenance and overhaul signal;
when (when)The comprehensive judging module generates a normal operation signal;
a threshold is determined for the integrated operation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311344995.9A CN117076959A (en) | 2023-10-18 | 2023-10-18 | Big data visual interaction system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311344995.9A CN117076959A (en) | 2023-10-18 | 2023-10-18 | Big data visual interaction system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117076959A true CN117076959A (en) | 2023-11-17 |
Family
ID=88712038
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311344995.9A Withdrawn CN117076959A (en) | 2023-10-18 | 2023-10-18 | Big data visual interaction system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117076959A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117318843A (en) * | 2023-11-29 | 2023-12-29 | 安徽斯派迪电气技术有限公司 | 5G communication-based power equipment safety monitoring method |
| CN118088431A (en) * | 2024-04-28 | 2024-05-28 | 山东海纳智能装备科技股份有限公司 | Explosion-proof submersible sand-discharging electric pump fault monitoring system and method for mine |
-
2023
- 2023-10-18 CN CN202311344995.9A patent/CN117076959A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117318843A (en) * | 2023-11-29 | 2023-12-29 | 安徽斯派迪电气技术有限公司 | 5G communication-based power equipment safety monitoring method |
| CN117318843B (en) * | 2023-11-29 | 2024-03-12 | 安徽斯派迪电气技术有限公司 | 5G communication-based power equipment safety monitoring method |
| CN118088431A (en) * | 2024-04-28 | 2024-05-28 | 山东海纳智能装备科技股份有限公司 | Explosion-proof submersible sand-discharging electric pump fault monitoring system and method for mine |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117076959A (en) | Big data visual interaction system | |
| GB2506730B (en) | Systems and methods to monitor an asset in an operating process unit | |
| US9255578B2 (en) | Systems and methods to monitor pump cavitation | |
| US10436208B2 (en) | Surge estimator | |
| CN116044802B (en) | State fault monitoring and diagnosing system for mine ventilator | |
| JP3723866B2 (en) | Internal pump performance monitoring method and apparatus | |
| AU2013224896A1 (en) | Method and system for real-time performance recovery advisory for centrifugal compressors | |
| US20120148382A1 (en) | Method and apparatus for the model-based monitoring of a turbomachine | |
| CN112483427B (en) | Efficient centrifugal pump energy efficiency management method and system | |
| CN108362497A (en) | A kind of method and system judged extremely for water turbine set bearing temperature | |
| CN105466707B (en) | Method, system and computer program for fault detection in a machine | |
| US20190332102A1 (en) | Machine health monitoring of rotating machinery | |
| CN106050637A (en) | Online monitoring method for operation state of large-sized variable-speed water-feeding pump | |
| WO2021095436A1 (en) | Diagnostic system for lubricating oil and diagnostic method for lubricating oil | |
| CN112881660A (en) | Lubricating oil on-line monitoring method and oil monitoring system | |
| CN112799916B (en) | Monitoring method, device and system for server fan | |
| KR100850823B1 (en) | System and method of controlling vibration for machinery equipment | |
| CN107725456A (en) | The analysis and diagnosis method and device of centrifugal compressor unit | |
| Bai et al. | Experiments and Numerical Simulation of Performances and Internal Flow for High‐Speed Rescue Pump with Variable Speeds | |
| JP2020084899A (en) | Diagnosis system of lubricant, wind power generator and module for property measurement of lubricant | |
| JP7349966B2 (en) | Machine lubricating oil supply system monitoring method and device | |
| CN117469152B (en) | Fluid pump abnormality detection method, fluid pump abnormality detection device, electronic device, and storage medium | |
| CN116255377B (en) | Servo intelligent machine tool hydraulic station fault analysis system | |
| JP7282023B2 (en) | PLANT MONITORING DEVICE, PLANT MONITORING METHOD, AND PROGRAM | |
| Kalhoro et al. | Remote Monitoring of Equipment Performance Through a Customized Real-Time Performance Solution |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20231117 |