Vacuum belt dehydrator fault monitoring method and device and terminal equipment

Abstract

The invention provides a vacuum belt dehydrator fault monitoring method and device and terminal equipment, and relates to the technical field of fault traceability, and the method comprises the steps: obtaining first fault monitoring data and at least one piece of second fault monitoring data of a vacuum belt dehydrator; if the first fault monitoring data is abnormal, it is determined that the vacuum belt dehydrator has a first fault, whether the current second fault monitoring data is abnormal is judged, if yes, it is determined that the vacuum belt dehydrator has a second fault, and the first fault is associated with at least one second fault; second faults corresponding to all the current abnormal second fault monitoring data are determined, the first fault is taken as a first-level fault, all the determined second faults are taken as second-level faults, and fault tracing information of the vacuum belt dehydrator is generated according to the incidence relation between the second faults and the first fault; and sending the fault traceability information to a user side for display. According to the invention, the traceability and processing efficiency of the fault working condition is effectively improved.

Description

Technical Field

[0001] The present application relates to the technical field of fault tracing, and in particular to a vacuum belt dehydrator fault monitoring method, a vacuum belt dehydrator fault monitoring device and a terminal device. Background Art

[0002] At present, with the rapid development of technologies such as the Internet of Things, big data, and artificial intelligence, some power generation companies have carried out systematic construction of smart power plants, including fault diagnosis systems, which mainly diagnose and trace the faults of some equipment of the unit from the aspects of system reliability and safety. By carrying out intelligent construction in the field of flue gas treatment technology in coal-fired power plants, developing fault diagnosis and tracking methods for desulfurization systems based on intelligent optimization, assisting operating personnel in monitoring, timely discovering equipment failures and tracing faults, it can greatly reduce the workload of operating personnel, help operating personnel quickly discover faults and improve the efficiency of fault handling, ensure the safe production of power generation companies, and achieve high-quality development. Among them, in the desulfurization system of coal-fired power plants, vacuum belt dehydrators are mainly used to dehydrate gypsum slurry produced in the wet desulfurization process.

[0003] However, at present, there are the following problems in the fault diagnosis of vacuum belt dehydrators: 1. Human factors: Currently, fault diagnosis and analysis mainly rely on the attention and judgment of operators. When operators are tired or inattentive, when an accident occurs, it may lead to negligence or misjudgment, thus causing the accident to escalate.

[0004] 2. Equipment factors: In modern power generation enterprises, with the diversification of equipment types, the reliability of some equipment is poor, and the types and frequency of failures are increasing. It may be difficult for operators to analyze and handle accidents in a timely manner, missing the best time to handle accidents and causing equipment damage.

[0005] 3. Time factor: For some emergencies, the time for operators to diagnose and handle accidents may be limited, and they may not be able to take timely measures, which will affect the stable operation of the system and cause economic losses to the power plant.

[0006] 4. Reliance on experience: Fault diagnosis and analysis often rely on the work experience and technical level of operators. With the continuous increase in coal-fired power plants, workers may not be able to handle faults correctly and in a timely manner.

[0007] 5. Lack of objectivity: The subjective judgment of operators may be affected by external factors, resulting in an inaccurate and inaccurate judgment and analysis of faults. At the same time, the intelligent fault diagnosis systems of some power generation companies are not perfect in terms of fault cause analysis and framework structure. The implementation form is mainly based on DCS photon alarm display, and the display content is scarce, unique and fixed, which cannot assist operating personnel in analyzing, judging and tracing the causes of faults. Summary of the invention

[0008] The purpose of the embodiments of the present application is to provide a vacuum belt dehydrator fault monitoring method, a vacuum belt dehydrator fault monitoring device and a terminal device to solve the above-mentioned problems.

[0009] In order to achieve the above-mentioned object, the first aspect of the present application provides a vacuum belt dehydrator fault monitoring method, comprising: Acquire first fault monitoring data and at least one second fault monitoring data of the vacuum belt dehydrator; If the first fault monitoring data is abnormal, it is determined that the vacuum belt dehydrator has a first fault, and whether the current second fault monitoring data is abnormal. If the current second fault monitoring data is abnormal, it is determined that the vacuum belt dehydrator has a second fault, wherein the first fault is associated with at least one second fault; Determine the second fault corresponding to all currently abnormal second fault monitoring data, take the first fault as a primary fault, take all determined second faults as secondary faults, and generate fault tracing information of the vacuum belt dehydrator according to the association relationship between each second fault and the first fault; The fault tracing information is sent to the user end for display.

[0010] Optionally, the first fault monitoring data is the vacuum degree of the vacuum belt dehydrator, and the first fault is abnormal vacuum degree; The first fault monitoring data is abnormal, including: If the vacuum degree of the vacuum belt dehydrator is greater than a first vacuum degree threshold, or the vacuum degree of the vacuum belt dehydrator is less than a second vacuum degree threshold, and the vacuum belt dehydrator is in operation, it is determined that the first fault monitoring data is abnormal; Wherein, the first vacuum degree threshold is greater than the second vacuum degree threshold.

[0011] Optionally, the second fault monitoring data includes a liquid level in a filter water tank of the vacuum belt dehydrator, and the second fault includes an abnormal liquid level in the filter water tank; The second fault monitoring data is abnormal, including: If the liquid level of the filter water tank of the vacuum belt dehydrator is lower than the liquid level threshold and the vacuum belt dehydrator is in operation, it is determined that the second fault monitoring data is abnormal.

[0012] Optionally, the second fault monitoring data includes a sealing water flow rate of a vacuum pump of the vacuum belt dehydrator, and the second fault includes an abnormal sealing water flow rate of the vacuum pump; The second fault monitoring data is abnormal, including: If the sealing water flow of the vacuum pump of the vacuum belt dehydrator is lower than the flow threshold and the vacuum belt dehydrator is in operation, it is determined that the second fault monitoring data is abnormal.

[0013] Optionally, the second fault monitoring data includes a vacuum degree fluctuation amplitude and a vacuum degree fluctuation frequency of the vacuum belt dehydrator, and the second fault includes an abnormality of a filter cloth of the vacuum belt dehydrator; The second fault monitoring data is abnormal, including: If within a preset time period, the fluctuation frequency of the vacuum belt dehydrator reaches the fluctuation frequency threshold, and the vacuum degree fluctuation amplitude of the vacuum belt dehydrator reaches the fluctuation amplitude threshold during each fluctuation, and the vacuum belt dehydrator is in operation, it is determined that the second fault monitoring data is abnormal.

[0014] Optionally, the second fault monitoring data includes the vacuum pump current and vacuum degree fluctuation amplitude of the vacuum belt dehydrator, and the second fault includes an abnormality of the vacuum pump belt of the vacuum belt dehydrator; The second fault monitoring data is abnormal, including: If the vacuum pump current of the vacuum belt dehydrator is lower than the current threshold, and within a preset period of time, the vacuum degree fluctuation amplitude of the vacuum belt dehydrator is within a first vacuum degree fluctuation range, and the vacuum belt dehydrator is in operation; or Within a preset time period, the vacuum pump current of the vacuum belt dehydrator is in a preset current range, the vacuum degree fluctuation amplitude of the vacuum belt dehydrator is in a second vacuum degree fluctuation range, and the vacuum belt dehydrator is in operation, and it is determined that the second fault monitoring data is abnormal, the current threshold is lower than the lower limit value of the second current range, and the lower limit value of the first vacuum degree fluctuation range is lower than the lower limit value of the second vacuum degree fluctuation range.

[0015] Optionally, determining that the vacuum belt dehydrator has a second fault includes: If the vacuum pump current of the vacuum belt dehydrator is lower than the current threshold, and within a preset period of time, the vacuum degree fluctuation amplitude of the vacuum belt dehydrator is in a first vacuum degree fluctuation range, and the vacuum belt dehydrator is in operation, it is determined that the vacuum pump belt of the vacuum belt dehydrator is broken; If within a preset time period, the vacuum pump current of the vacuum belt dehydrator is in a preset current range, the vacuum degree fluctuation amplitude of the vacuum belt dehydrator is in a second vacuum degree fluctuation range, and the vacuum belt dehydrator is in operation, it is determined that the vacuum pump belt of the vacuum belt dehydrator is slipping.

[0016] Optionally, generating fault tracing information of the vacuum belt dehydrator according to the association relationship between each second fault and the first fault includes: Taking the first fault as the first-level tracing node and each second fault as the second-level tracing node, a fishbone diagram or a tree diagram representing the connection relationship between the first-level tracing node and each second-level tracing node is generated according to the association relationship between each second fault and the first fault.

[0017] The second aspect of the present application provides a vacuum belt dehydrator fault monitoring device, comprising: A data acquisition module is configured to obtain first fault monitoring data and at least one second fault monitoring data of the vacuum belt dehydrator; a fault judgment module, configured to determine that the vacuum belt dehydrator has a first fault if the first fault monitoring data is abnormal, determine whether the current second fault monitoring data is abnormal, and determine that the vacuum belt dehydrator has a second fault if the current second fault monitoring data is abnormal, wherein the first fault is associated with at least one second fault; a fault tracing module configured to determine the second fault corresponding to all currently abnormal second fault monitoring data, taking the first fault as a primary fault and all determined second faults as secondary faults, and generating fault tracing information of the vacuum belt dehydrator according to the association relationship between each second fault and the first fault; The data display module is configured to send the fault tracing information to the user end for display.

[0018] A third aspect of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to execute the vacuum belt dehydrator fault monitoring method as described above.

[0019] The fourth aspect of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned vacuum belt dehydrator fault monitoring method when executing the computer program.

[0020] The embodiments provided in this application have the following beneficial effects: The present application collects different fault monitoring data of the vacuum belt dehydrator in real time during operation, monitors the fault categories and automatically sorts out the causes of the faults based on a pre-established vacuum belt dehydrator vacuum fault standard database, generates fault tracing information, and uses forward deduction and reverse tracing to quickly lock the fault trigger channel, thereby assisting operating personnel to quickly lock the cause of the fault and effectively improving the efficiency of tracing and handling of fault conditions.

[0021] Other features and advantages of the embodiments or implementations of the present application will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present application, but do not constitute a limitation on the embodiments of the present application. In the accompanying drawings: Figure 1 A method flow chart schematically shows a method for monitoring a vacuum belt dehydrator fault according to an embodiment of the present application; Figure 2 A schematic diagram of a vacuum belt dehydrator fault monitoring device according to an embodiment of the present application is schematically shown; Figure 3 A schematic diagram of the structure of a terminal device according to an embodiment of the present application is shown schematically.

[0023] Description of Reference Numerals 10-terminal device, 100-processor, 101-memory, 102-computer program. DETAILED DESCRIPTION

[0024] The specific implementation of the embodiment of the present application is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present application, and is not used to limit the embodiment of the present application.

[0025] In order to solve the above problems, Figure 1 As shown, the first aspect of the present application provides a vacuum belt dehydrator fault monitoring method, comprising: S100, obtaining first fault monitoring data and at least one second fault monitoring data of a vacuum belt dehydrator; S200, if the first fault monitoring data is abnormal, it is determined that the vacuum belt dehydrator has a first fault, and whether the current second fault monitoring data is abnormal. If the current second fault monitoring data is abnormal, it is determined that the vacuum belt dehydrator has a second fault, wherein the first fault is associated with at least one second fault; S300, determining the second fault corresponding to all currently abnormal second fault monitoring data, taking the first fault as the primary fault, and all determined second faults as the secondary faults, and generating fault tracing information of the vacuum belt dehydrator according to the association relationship between each second fault and the first fault; S400: Send the fault tracing information to the user end for display.

[0026] In this way, the present application collects different fault monitoring data of the vacuum belt dehydrator in real time during operation, monitors the fault category and automatically sorts out the causes of the fault based on the pre-established vacuum belt dehydrator vacuum fault standard database, generates fault tracing information, and uses forward deduction and reverse tracing methods to quickly lock the fault trigger channel, thereby assisting operating personnel to quickly lock the cause of the fault and effectively improve the efficiency of tracing and handling of fault conditions.

[0027] It can be understood that the vacuum belt dehydrator is mainly used in the desulfurization system of thermal power plants to dehydrate the gypsum slurry produced in the wet desulfurization process. It has the advantages of large transmission capacity, low cost and long transmission distance. The main structure of the vacuum belt dehydrator includes: a filter water tank, which is used to collect and store the liquid filtered through the filter cloth. It is usually installed at the bottom of the dehydrator to collect the filtrate and recover or discharge the filtrate through a pipeline; the filter cloth is a filter medium laid on the vacuum belt, which is used to separate solids and liquids and absorb the water in the coal slag or gypsum slurry through vacuum negative pressure; the vacuum box is located below the filter cloth and is the core component of the vacuum belt dehydrator. The vacuum box forms a negative pressure under the action of the vacuum pump, and the surface of the vacuum box and the filter cloth fit closely. The vacuum suction generated allows the water to penetrate the filter cloth and enter the vacuum box; the vacuum pump is set in the vacuum box to provide vacuum suction for the vacuum box, and the vacuum pump sealing water is used to ensure the vacuum degree in the vacuum box to ensure that the water in the slurry can be sucked out smoothly; the belt is used to drive the continuous movement of the filter cloth and the filter material.

[0028] It is understandable that when the vacuum belt dehydrator is working, the slurry is evenly distributed on the moving filter cloth, which is supported on a porous belt. As the belt moves, the slurry enters the vacuum box area, and the vacuum pump forms a negative pressure in the vacuum box by pumping air, so that a vacuum state is generated under the filter cloth. Since the filter cloth is water permeable, the liquid in the slurry is quickly sucked away through the filter cloth under the action of vacuum suction, while the solid particles are intercepted by the filter cloth to form a filter cake. As the belt continues to move, the filter cake gradually thickens until it leaves the vacuum area. It is understandable that the structure and working principle of the vacuum belt dehydrator are prior art and are not limited here.

[0029] In step S100, the first fault monitoring data is the vacuum degree of the vacuum belt dehydrator, and the first fault is abnormal vacuum degree. In step S200, the first fault monitoring data is abnormal, including: if the vacuum degree of the vacuum belt dehydrator is greater than the first vacuum degree threshold, or the vacuum degree of the vacuum belt dehydrator is less than the second vacuum degree threshold, and the vacuum belt dehydrator is in operation, it is determined that the first fault monitoring data is abnormal; wherein the first vacuum degree threshold is greater than the second vacuum degree threshold.

[0030] It is understandable that the association between the first fault and at least one second fault indicates that the second fault is a factor causing the first fault, that is, the first fault is caused by at least one second fault, that is, the first fault is a primary fault, and the second fault is a secondary fault of the first fault. It is understandable that the association between the first fault and the second fault can be predetermined. In this application, the abnormal vacuum degree of the vacuum belt dehydrator is determined to be a primary fault. It is understandable that since fault tracing is the deduction of the cause after the fault occurs, it is necessary to first determine that the first-level fault is the abnormal vacuum degree of the vacuum belt dehydrator. First, determine under what circumstances the vacuum degree is abnormal. If there is a measuring point that can intuitively reflect the vacuum degree, the normal operating range of the vacuum degree can be directly determined by the actual value of the measuring point combined with the on-site needs. If it is not within this range, it is considered abnormal. For example, the vacuum degree of the vacuum belt dehydrator is monitored by a vacuum sensor; if there is no measuring point on site, the vacuum degree can be deduced through other real-time parameters to determine whether it is normal. For example, the vacuum degree is calculated by monitoring the changes in the sealing water flow of the vacuum pump. At the same time, in order to avoid false fault alarms caused by the shutdown of the vacuum belt dehydrator, the signal measuring point that can represent the startup of the vacuum belt dehydrator system is further used as a shielding condition to make the change in the sealing water flow consistent with the actual situation. It is understandable that in this application, the vacuum degree of the vacuum belt dehydrator is the vacuum degree of the vacuum box. When the vacuum degree of the vacuum belt dehydrator is too high or too low, it indicates that the vacuum degree of the vacuum belt dehydrator is abnormal. In order to avoid false alarms caused by the shutdown of the vacuum belt dehydrator, the present application also uses the operating status of the vacuum belt dehydrator as a judgment condition. For example, when the vacuum degree is monitored to be too high or too low, the system outputs 1, and if the vacuum degree is normal, it outputs 0. At the same time, the operating status of the vacuum belt dehydrator is monitored. If the vacuum belt dehydrator is monitored to be in the operating state, the system outputs 1, otherwise, the system outputs 0, and the vacuum degree monitoring result is ANDed with the operating status monitoring result of the vacuum belt dehydrator. If the operation result is 1, it is determined that the vacuum degree of the vacuum belt dehydrator is abnormal, and output 1 indicates that the vacuum degree is abnormal to warn the user end.

[0031] In step S200, the second fault monitoring data includes the liquid level of the filter water tank of the vacuum belt dehydrator, and the second fault includes abnormal filter water tank liquid level, that is, abnormal filter water tank liquid level is a secondary fault of abnormal vacuum degree; then, the second fault monitoring data is abnormal, including: if the filter water tank liquid level of the vacuum belt dehydrator is lower than the liquid level threshold, and the vacuum belt dehydrator is in operation, the second fault monitoring data is determined to be abnormal. Specifically, if the filter water tank liquid level is too low, it will cause the drain outlet of the steam-water separator to be higher than the water level of the filter water tank, thereby causing abnormal vacuum degree. Therefore, it is necessary to first determine the specific level below which the filter water tank liquid level causes the drain outlet of the steam-water separator to be higher than the water level, and set the determined liquid level as the lower limit, that is, the liquid level threshold. When the liquid level is lower than this limit, the output result is 1, otherwise it is output 0. At the same time, when the vacuum belt dehydrator stops operating, the vacuum degree is 0, but this situation cannot be judged as abnormal vacuum degree, which will lead to false alarm. Therefore, it is necessary to take the signal that can indicate the start of the vacuum belt dehydrator as the third consideration factor. For example, it can be the absorption tower gypsum discharge pump start signal, the vacuum pump start signal, the belt conveyor start signal, etc., that is, the monitoring result of the filter water tank liquid level and the monitoring result of the operating status of the vacuum belt dehydrator are ANDed. If the operation result is 1, it is determined that the filter water tank liquid level of the vacuum belt dehydrator is abnormal.

[0032] In step S200, the second fault monitoring data also includes the vacuum pump sealing water flow of the vacuum belt dehydrator, and the second fault includes the abnormal vacuum pump sealing water flow; the second fault monitoring data is abnormal, including: if the vacuum pump sealing water flow of the vacuum belt dehydrator is lower than the flow threshold, and the vacuum belt dehydrator is in operation, it is determined that the second fault monitoring data is abnormal. It can be understood that the vacuum pump sealing water plays a role of sealing, shock absorption and cooling by forming a closed liquid ring in the vacuum pump system. During the operation of the vacuum pump system, the sealing water is always in contact with the pump chamber, and a sealed water ring is formed along the inner wall of the pump chamber to prevent air from entering the system, thereby ensuring the vacuum degree of the system. Among them, the flow of sealing water has a direct impact on the performance of the vacuum pump. If the sealing water flow is too low, the vacuum tank box of the belt conveyor cannot be fully sealed, thereby causing abnormal vacuum. The present application collects the sealing water flow data and compares it with the lower limit of the sealing water flow, that is, the flow threshold, which is determined in advance in combination with the actual needs of the site to determine whether the sealing water flow is abnormal. If the sealing water flow rate is lower than the set limit, the output monitoring result is 1, otherwise the vacuum belt dehydrator is considered to be operating normally, and the output monitoring result is 0. At the same time, in order to eliminate the false alarm when the belt conveyor is stopped, the sealing water flow monitoring result is further ANDed with the operating status monitoring result of the vacuum belt dehydrator. If the calculation result is 1, it is determined that the sealing water flow rate of the vacuum belt dehydrator is abnormal.

[0033] In step S200, the second fault monitoring data also includes the vacuum degree fluctuation amplitude and vacuum degree fluctuation frequency of the vacuum belt dehydrator, and the second fault includes the filter cloth abnormality of the vacuum belt dehydrator; the second fault monitoring data abnormality includes: if the fluctuation frequency of the vacuum belt dehydrator reaches the fluctuation frequency threshold within the preset time period, and the vacuum degree fluctuation amplitude of the vacuum belt dehydrator reaches the fluctuation amplitude threshold each time the vacuum belt dehydrator fluctuates, and the vacuum belt dehydrator is in operation, it is determined that the second fault monitoring data is abnormal. It can be understood that the damage of the filter cloth will cause the slurry to be unable to fully cover the horizontal surface of the belt conveyor, resulting in the inability of the horizontal surface of the belt conveyor to achieve full sealing, thereby causing vacuum abnormality. At the same time, the damage of the filter cloth will also cause a large amount of slurry to enter the sealing groove of the belt conveyor, causing the sealing groove to be blocked, causing vacuum abnormality, and causing gypsum to be loose. Therefore, the most intuitive manifestation of filter cloth damage is vacuum abnormality, that is, frequent fluctuations in vacuum. Therefore, the present application determines in advance the minimum fluctuation range, fluctuation frequency and statistical time of the vacuum degree when the filter cloth is damaged according to the vacuum degree fluctuation of the vacuum belt dehydrator when the filter cloth is damaged. For example, the fluctuation amplitude threshold is determined to be -20kpa, the fluctuation frequency threshold is 3 times, and the statistical time, i.e., the preset period, is 20s. When the vacuum degree fluctuation amplitude and vacuum degree fluctuation frequency of the vacuum belt dehydrator are monitored to meet the conditions, it indicates that the filter cloth may be damaged, and the output monitoring result is 1, otherwise it is 0. At the same time, in order to eliminate the false alarms generated when the dehydration system is shut down or not dehydrated, it is necessary to make a judgment in combination with the conditions when the belt conveyor is dehydrating. For example, the start-up signals of the gypsum discharge pump, vacuum pump, belt conveyor and other equipment can be used to indicate the operating status of the vacuum belt dehydrator, that is, the monitoring results of the vacuum degree fluctuation amplitude and vacuum degree fluctuation frequency are ANDed with the monitoring results of the operating status of the vacuum belt dehydrator. If the calculation result is 1, it is determined that the filter cloth of the vacuum belt dehydrator is abnormal.

[0034] In step S200, the second fault monitoring data also includes the vacuum pump current and vacuum fluctuation amplitude of the vacuum belt dehydrator, and the second fault includes the vacuum pump belt of the vacuum belt dehydrator being abnormal; the second fault monitoring data being abnormal includes: if the vacuum pump current of the vacuum belt dehydrator is lower than the current threshold, and within the preset time period, the vacuum fluctuation amplitude of the vacuum belt dehydrator is in the first vacuum fluctuation interval, and the vacuum belt dehydrator is in operation; or within the preset time period, the vacuum pump current of the vacuum belt dehydrator is in the preset current interval, the vacuum fluctuation amplitude of the vacuum belt dehydrator is in the second vacuum fluctuation interval, and the vacuum belt dehydrator is in operation, it is determined that the second fault monitoring data is abnormal. Among them, when the vacuum pump belt is broken, the changes in the vacuum pump current and vacuum fluctuation amplitude are significantly greater than the changes in the vacuum pump current and vacuum fluctuation amplitude when the vacuum pump belt slips, therefore, it is determined that the current threshold is lower than the lower limit of the second current interval, and the lower limit of the first vacuum fluctuation interval is lower than the lower limit of the second vacuum fluctuation interval. Wherein, determining that there is a second fault in the vacuum belt dehydrator includes: if within a preset period of time, the vacuum pump current of the vacuum belt dehydrator is in the first current interval, the vacuum degree fluctuation amplitude of the vacuum belt dehydrator is in the first vacuum degree fluctuation interval, and the vacuum belt dehydrator is in operation, it is determined that the vacuum pump belt of the vacuum belt dehydrator is broken; if within a preset period of time, the vacuum pump current of the vacuum belt dehydrator is in the second current interval, the vacuum degree fluctuation amplitude of the vacuum belt dehydrator is in the second vacuum degree fluctuation interval, and the vacuum belt dehydrator is in operation, it is determined that the vacuum pump belt of the vacuum belt dehydrator is slipping. It can be understood that when the vacuum pump belt is broken, the vacuum pump current will be reduced, resulting in insufficient output of the vacuum pump, thereby causing abnormal vacuum degree; and the slippage of the vacuum pump belt will cause the vacuum pump current to fluctuate, and also cause abnormal vacuum degree. Therefore, the abnormal vacuum pump belt fault is divided into two situations, namely, the vacuum pump belt is broken and the vacuum pump belt is slipping, and the logical relationship between these two situations is an or relationship, and the data to be monitored are the vacuum pump current and vacuum degree. Combined with the on-site needs, when the vacuum pump belt breaks, determine the reduction limit of the vacuum pump current and the range of vacuum degree change in this case; when the vacuum pump belt slips, determine the minimum current fluctuation range of the vacuum pump and the corresponding minimum fluctuation range of the vacuum degree; at the same time, third-party considerations such as the start-up of the belt conveyor system need to be added to eliminate false alarm problems.For example, assuming that during normal operation, the vacuum pump current is 10A and the vacuum degree is -80 kPa. When the vacuum pump belt breaks, the current drops below 6A and the vacuum degree drops to -20 kPa. The current threshold can be set to 6A, and the lower limit of the first vacuum degree fluctuation range is set to -20kPa. For example, the first vacuum degree fluctuation range is set to -20kPa~-60 kPa. When the belt slips, the load of the vacuum pump will be unstable to a certain extent, resulting in a small fluctuation in the current. The current fluctuation range is usually around ±10% of the normal current, that is, the preset current range can be set to -1A~1A. At the same time, the transmission instability caused by the belt slippage causes the system vacuum degree to fluctuate slightly. For example, the vacuum degree fluctuation range when the belt slips is ±5 kPa of -80 kPa, that is, the second vacuum degree fluctuation range is -75 kPa~-85 kPa. It can be understood that the setting of the current threshold and the vacuum degree fluctuation range can be determined according to the actual situation. This is only for explanation and not for limitation.

[0035] In step S300, the fault tracing information of the vacuum belt dehydrator is generated according to the correlation between each second fault and the first fault, including: taking the first fault as the first-level tracing node, taking each second fault as the second-level tracing node, and generating a fishbone diagram or a tree diagram representing the connection relationship between the first-level tracing node and each second-level tracing node according to the correlation between each second fault and the first fault. In the present application, the fault tracing is divided into three levels, among which the first-level tracing is the abnormal vacuum degree of the vacuum belt dehydrator; the second-level tracing is the cause of the first-level fault, including low liquid level in the filter water tank, deviation of the filter cloth belt, breakage and slippage of the vacuum pump belt, low sealing water flow and filter cloth damage, etc.; the third-level tracing is the specific monitoring data when the second-level fault occurs, for example, the sealing water flow, vacuum degree, vacuum pump current, etc. when the second-level fault occurs. After detecting the abnormal vacuum degree of the vacuum belt dehydrator, the system automatically obtains all the current secondary fault monitoring data, and based on the correlation between each secondary fault and the primary fault, takes the primary fault as the initial node and the monitored secondary fault as the lower node of the initial node to generate the corresponding fishbone diagram or tree diagram, and displays it in the form of a link on the DCS process screen, so that users can diagnose and track the cause of the abnormal vacuum degree of the vacuum belt dehydrator. At the same time, in order to warn of possible faults in advance, in this application, the alarm values ​​set when making abnormal judgments on the first fault monitoring data and the second fault monitoring data are lower than the actual alarm values ​​when the first fault and the second fault occur, so that the staff can be informed of the possible faults and their causes in a timely manner through fault tracing.

[0036] like Figure 2 As shown, the second aspect of the present application provides a vacuum belt dehydrator fault monitoring device, comprising: A data acquisition module is configured to obtain first fault monitoring data and at least one second fault monitoring data of the vacuum belt dehydrator; The fault judgment module is configured to determine that the vacuum belt dehydrator has a first fault if the first fault monitoring data is abnormal, determine whether the current second fault monitoring data is abnormal, and determine that the vacuum belt dehydrator has a second fault if the current second fault monitoring data is abnormal, wherein the first fault is associated with at least one second fault; A fault tracing module is configured to determine the second fault corresponding to all currently abnormal second fault monitoring data, taking the first fault as a primary fault and all determined second faults as secondary faults, and generating fault tracing information of the vacuum belt dehydrator according to the association relationship between each second fault and the first fault; The data display module is configured to send the fault tracing information to the user end for display.

[0037] It should be noted that it should be understood that the division of the various modules of the above device is only a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. And these modules can all be implemented in the form of software called by processing elements; they can also be all implemented in the form of hardware; some modules can also be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware. For example, the data acquisition module can be a separately established processing element, or it can be integrated in a chip of the above device. In addition, it can also be stored in the memory of the above device in the form of program code, and called and executed by a processing element of the above device. The function of the above data acquisition module. The implementation of other modules is similar. In addition, all or part of these modules can be integrated together, or they can be implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each module above can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

[0038] A third aspect of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to execute the vacuum belt dehydrator fault monitoring method as described above.

[0039] The fourth aspect of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned vacuum belt dehydrator fault monitoring method when executing the computer program.

[0040] like Figure 3 FIG. 1 is a schematic diagram of a terminal device provided in an embodiment of the present application. Figure 3As shown, the terminal device 10 of this embodiment includes: a processor 100, a memory 101, and a computer program 102 stored in the memory 101 and executable on the processor 100. When the processor 100 executes the computer program 102, the steps in the above method embodiment are implemented. Alternatively, when the processor 100 executes the computer program 102, the functions of each module / unit in the above device embodiments are implemented.

[0041] Exemplarily, the computer program 102 may be divided into one or more modules / units, one or more modules / units are stored in the memory 101, and are executed by the processor 100 to complete the present application. One or more modules / units may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program 102 in the terminal device 10.

[0042] The terminal device 10 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The terminal device 10 may include, but is not limited to, a processor 100 and a memory 101. Those skilled in the art will appreciate that Figure 3 It is only an example of the terminal device 10 and does not constitute a limitation of the terminal device 10. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device may also include input and output devices, network access devices, buses, etc.

[0043] The processor 100 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0044] The memory 101 may be an internal storage unit of the terminal device 10, such as a hard disk or memory of the terminal device 10. The memory 101 may also be an external storage device of the terminal device 10, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card (FlashCard), etc. equipped on the terminal device 10. Further, the memory 101 may also include both an internal storage unit of the terminal device 10 and an external storage device. The memory 101 is used to store computer programs and other programs and data required by the terminal device 10. The memory 101 may also be used to temporarily store data that has been output or is to be output.

[0045] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0046] In summary, the present application can timely discover faults through fault tracing and inform the operating personnel of the cause of the fault, helping the operating personnel to more effectively monitor the status of the vacuum belt dehydrator system and the dehydration situation; at the same time, since the parameters set in the present application when modeling the fault tracing are close to the alarm value but have not reached the actual alarm value, the present application can, on the one hand, promptly inform the operating personnel of the fault and its cause through fault tracing, and on the other hand, can predict the occurrence of the fault in advance, reminding the operating personnel to take corresponding measures in time; the operating personnel can make adjustments to the fault in advance according to the fault tracing, improve the efficiency and performance of the desulfurization system, avoid the expansion of accidents, and cause economic losses.

[0047] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0048] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A vacuum belt dehydrator fault monitoring method, characterized in that: include: Acquire first fault monitoring data and at least one second fault monitoring data of the vacuum belt dehydrator; If the first fault monitoring data is abnormal, it is determined that the vacuum belt dehydrator has a first fault, and whether the current second fault monitoring data is abnormal. If the current second fault monitoring data is abnormal, it is determined that the vacuum belt dehydrator has a second fault, wherein the first fault is associated with at least one second fault; Determine the second fault corresponding to all currently abnormal second fault monitoring data, take the first fault as a primary fault, take all determined second faults as secondary faults, and generate fault tracing information of the vacuum belt dehydrator according to the association relationship between each second fault and the first fault; The fault tracing information is sent to the user end for display.

2. The vacuum belt dehydrator fault monitoring method according to claim 1, characterized in that: The first fault monitoring data is the vacuum degree of the vacuum belt dehydrator, and the first fault is abnormal vacuum degree; The first fault monitoring data is abnormal, including: If the vacuum degree of the vacuum belt dehydrator is greater than a first vacuum degree threshold, or the vacuum degree of the vacuum belt dehydrator is less than a second vacuum degree threshold, and the vacuum belt dehydrator is in operation, it is determined that the first fault monitoring data is abnormal; Wherein, the first vacuum degree threshold is greater than the second vacuum degree threshold.

3. The vacuum belt dehydrator fault monitoring method according to claim 1, characterized in that: The second fault monitoring data includes the liquid level of the filter water tank of the vacuum belt dehydrator, and the second fault includes abnormal liquid level of the filter water tank; The second fault monitoring data is abnormal, including: If the liquid level of the filter water tank of the vacuum belt dehydrator is lower than the liquid level threshold and the vacuum belt dehydrator is in operation, it is determined that the second fault monitoring data is abnormal.

4. The vacuum belt dehydrator fault monitoring method according to claim 1, characterized in that: The second fault monitoring data includes the sealing water flow of the vacuum pump of the vacuum belt dehydrator, and the second fault includes an abnormal sealing water flow of the vacuum pump; The second fault monitoring data is abnormal, including: If the sealing water flow of the vacuum pump of the vacuum belt dehydrator is lower than the flow threshold and the vacuum belt dehydrator is in operation, it is determined that the second fault monitoring data is abnormal.

5. The vacuum belt dehydrator fault monitoring method according to claim 1, characterized in that: The second fault monitoring data includes the vacuum degree fluctuation amplitude and vacuum degree fluctuation frequency of the vacuum belt dehydrator, and the second fault includes the filter cloth abnormality of the vacuum belt dehydrator; The second fault monitoring data is abnormal, including: If within a preset time period, the fluctuation frequency of the vacuum belt dehydrator reaches the fluctuation frequency threshold, and the vacuum degree fluctuation amplitude of the vacuum belt dehydrator reaches the fluctuation amplitude threshold during each fluctuation, and the vacuum belt dehydrator is in operation, it is determined that the second fault monitoring data is abnormal.

6. The vacuum belt dehydrator fault monitoring method according to claim 1, characterized in that: The second fault monitoring data includes the vacuum pump current and vacuum degree fluctuation amplitude of the vacuum belt dehydrator, and the second fault includes an abnormality of the vacuum pump belt of the vacuum belt dehydrator; The second fault monitoring data is abnormal, including: If the vacuum pump current of the vacuum belt dehydrator is lower than the current threshold, and within a preset period of time, the vacuum degree fluctuation amplitude of the vacuum belt dehydrator is in a first vacuum degree fluctuation range, and the vacuum belt dehydrator is in operation; or Within a preset time period, the vacuum pump current of the vacuum belt dehydrator is in a preset current range, the vacuum degree fluctuation amplitude of the vacuum belt dehydrator is in a second vacuum degree fluctuation range, and the vacuum belt dehydrator is in operation, and it is determined that the second fault monitoring data is abnormal, the current threshold is lower than the lower limit value of the second current range, and the lower limit value of the first vacuum degree fluctuation range is lower than the lower limit value of the second vacuum degree fluctuation range.

7. The vacuum belt dehydrator fault monitoring method according to claim 6, characterized in that: Determining that the vacuum belt dehydrator has a second fault includes: If the vacuum pump current of the vacuum belt dehydrator is lower than the current threshold, and within a preset period of time, the vacuum degree fluctuation amplitude of the vacuum belt dehydrator is in a first vacuum degree fluctuation range, and the vacuum belt dehydrator is in operation, it is determined that the vacuum pump belt of the vacuum belt dehydrator is broken; If within a preset time period, the vacuum pump current of the vacuum belt dehydrator is in a preset current range, the vacuum degree fluctuation amplitude of the vacuum belt dehydrator is in a second vacuum degree fluctuation range, and the vacuum belt dehydrator is in operation, it is determined that the vacuum pump belt of the vacuum belt dehydrator is slipping.

8. The vacuum belt dehydrator fault monitoring method according to claim 1, characterized in that: Generating fault tracing information of the vacuum belt dehydrator according to the association relationship between each second fault and the first fault, including: Taking the first fault as the first-level tracing node and each second fault as the second-level tracing node, a fishbone diagram or a tree diagram representing the connection relationship between the first-level tracing node and each second-level tracing node is generated according to the association relationship between each second fault and the first fault.

9. A vacuum belt dehydrator fault monitoring device, characterized in that: include: A data acquisition module is configured to obtain first fault monitoring data and at least one second fault monitoring data of the vacuum belt dehydrator; a fault judgment module, configured to determine that the vacuum belt dehydrator has a first fault if the first fault monitoring data is abnormal, determine whether the current second fault monitoring data is abnormal, and determine that the vacuum belt dehydrator has a second fault if the current second fault monitoring data is abnormal, wherein the first fault is associated with at least one second fault; a fault tracing module configured to determine the second fault corresponding to all currently abnormal second fault monitoring data, taking the first fault as a primary fault and all determined second faults as secondary faults, and generating fault tracing information of the vacuum belt dehydrator according to the association relationship between each second fault and the first fault; The data display module is configured to send the fault tracing information to the user end for display.

10. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the vacuum belt dehydrator fault monitoring method described in any one of claims 1 to 8 is implemented.

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