Abnormal state detection method and device for ash conveying system of thermal power station

Abstract

The invention provides an abnormal state detection method and device for an ash conveying system of a thermal power station, and can be applied to the technical field of pneumatic powder conveying. Before specific implementation, the ash conveying system of the thermal power station can be transformed, and a corresponding wireless pressure sensor is arranged on a pilot-operated type tying valve of an ash conveying pipeline; and the wireless pressure sensor is connected with a cloud server through a preset wireless network structure. In specific implementation, the cloud server can obtain a plurality of pressure data sequences of a current time period acquired by the plurality of wireless pressure sensors; and according to the pressure data sequences of the plurality of current time periods and the corresponding ash conveying system model, detecting and judging whether the ash conveying system has an abnormal state at present, and detecting and judging a specific abnormal state type and an abnormal state position. Therefore, the method can be well adapted to operation and maintenance scenes of the ash conveying system of the thermal power station with large pipeline scale and complex conditions, and the abnormal state of the ash conveying system can be efficiently and accurately detected and identified.

Description

Technical Field

[0001] The present invention relates to the technical field of pneumatic powder conveying, and in particular to a method and device for detecting abnormal conditions of an ash conveying system in a thermal power station. Background Art

[0002] In thermal power plants, a large-scale ash conveying system that is several kilometers long is often built and used. Based on this ash conveying system, pneumatic powder conveying technology (i.e., the pressure difference in the conveying pipeline generated by the air compressor is used as the power source) is used to achieve long-distance transmission of fly ash and other related powders during the operation of the thermal power plant.

[0003] However, the above-mentioned ash conveying system is prone to abnormal conditions such as ash blockage and valve failure during actual operation. Based on existing methods, most of them need to rely on operation and maintenance personnel to manually detect the operating status of the ash conveying system. Due to the large scale of the ash conveying system of thermal power plants, and many ash conveying pipelines are mostly laid at a high position from the ground, the operation and maintenance personnel face problems such as heavy workload and high difficulty when manually detecting the status of the ash conveying system, and it is difficult to detect abnormal conditions in a timely and accurate manner.

[0004] Currently, no effective solution has been proposed to the above problems. Summary of the invention

[0005] This specification provides a method and device for detecting abnormal conditions of an ash conveying system in a thermal power plant, which can be well adapted to the operation and maintenance scenarios of ash conveying systems in thermal power plants with large-scale pipelines and complex conditions, and can efficiently and accurately intelligently detect and identify abnormal conditions of the ash conveying system, as well as the specific abnormal condition type and abnormal condition location.

[0006] The present specification provides an abnormal state detection method for an ash conveying system of a thermal power station, which is applied to a cloud server, wherein the cloud server is connected to the ash conveying system of the thermal power station, wherein the ash conveying system at least includes: an ash conveying pipeline and a gas pipeline; a plurality of pilot-operated tethered valves are correspondingly arranged at a plurality of preset positions of the ash conveying pipeline, the pilot-operated tethered valves are also connected to the gas pipeline, and the pilot-operated tethered valves are also provided with corresponding wireless pressure sensors; the wireless pressure sensors are connected to the cloud server via a preset wireless network structure, and the method includes:

[0007] Obtaining pressure data sequences of multiple current time periods collected by multiple wireless pressure sensors through a preset wireless network structure;

[0008] According to the pressure data sequences of multiple current time periods, the ash conveying system model of the previous time period is updated to obtain the ash conveying system model of the current time period;

[0009] According to the ash conveying system model of the current time period, the pressure variation curves of the multiple pilot-operated valves in the current time period are determined;

[0010] Acquire and detect whether there is an abnormal pressure change curve in the pressure change curves of the multiple pilot-operated tethered valves in the current time period according to the curve characteristics of the pressure change curves of the multiple pilot-operated tethered valves in the current time period;

[0011] In the case of determining that there is an abnormal pressure change curve, determining that the ash conveying system is currently in an abnormal state; and determining the pilot-operated tethered valve corresponding to the abnormal pressure change curve as the target tethered valve;

[0012] Determine a plurality of pilot-operated tethered valves adjacent to the target tethered valve as associated tethered valves; and obtain a pressure variation curve of the associated tethered valve in a current time period as an associated pressure variation curve;

[0013] According to the abnormal pressure change curve and the associated pressure change curve, the abnormal state type and the abnormal state position are determined.

[0014] In one embodiment, the abnormal state type includes at least one of the following: failure of the pilot-operated automatic valve, blockage of the ash conveying pipeline, and leakage of the ash conveying pipeline.

[0015] In one embodiment, after determining the abnormal state type and the abnormal state position according to the abnormal pressure change curve and the associated pressure change curve, the method further includes:

[0016] Combine the abnormal state type and the abnormal state position to obtain abnormal state combination information;

[0017] According to the abnormal state combination information, query the preset exception handling strategy set to determine the matching target exception handling strategy;

[0018] According to the target abnormality handling strategy, the ash conveying system is subjected to corresponding abnormal state elimination processing.

[0019] In one embodiment, the preset wireless network structure includes a preset signal converter and multiple preset repeaters; wherein, the multiple preset repeaters are respectively connected to the corresponding wireless pressure sensors, the multiple preset repeaters are connected to the preset signal converter, and the preset signal converter is connected to the cloud server.

[0020] In one embodiment, obtaining a plurality of pressure data sequences collected by a plurality of wireless pressure sensors in a current time period includes:

[0021] Using multiple preset repeaters to receive the current signal uploaded by each wireless pressure sensor; wherein the current signal carries multiple pressure data of the pilot-operated valve collected by the wireless pressure sensor in the current time period;

[0022] Using multiple preset repeaters to perform signal amplification and / or signal modulation processing on the current signal to obtain an enhanced signal;

[0023] A preset signal converter is used to extract multiple pressure data of the pilot-operated valve collected in the current time period from the enhanced signal, and corresponding adjustment processing is performed to obtain corresponding pressure data sequences of multiple current time periods.

[0024] In one embodiment, the wireless pressure sensor is also equipped with a built-in smart chip;

[0025] Correspondingly, after the wireless pressure sensor collects the pressure data of the corresponding pilot-operated valve, the method further includes:

[0026] The intelligent chip of the wireless pressure sensor is used to pre-detect and process the pressure data of the pilot-operated valve to obtain the corresponding pre-detection results;

[0027] According to the pre-detection result, when it is determined that an abnormal state exists, the pressure sensor is used to generate an abnormal prompt about the corresponding pilot-operated valve; wherein the abnormal prompt carries at least the position parameter of the local pipeline area of ​​the ash conveying pipeline to which the corresponding pilot-operated valve belongs;

[0028] The pressure sensor is used to send the abnormal prompt to the operation and maintenance terminal through a preset wireless network structure.

[0029] In one embodiment, obtaining and detecting whether there is an abnormal pressure change curve in the pressure change curves of the current time period of the plurality of pilot-operated tethered valves according to the curve characteristics of the pressure change curves of the current time period of the plurality of pilot-operated tethered valves includes:

[0030] Obtaining the current operating parameters of the ash conveying system; wherein the operating parameters at least include: ash conveying frequency, ash conveying time, and ash conveying air pressure;

[0031] According to the current operating parameters of the ash conveying system, a matching target abnormal state case is determined from a preset abnormal state case library;

[0032] According to the target abnormal state case, the corresponding curve features are extracted from the pressure change curve of the pilot-operated valve in the current time period;

[0033] According to the target abnormal state case and curve characteristics, it is detected whether there is an abnormal pressure change curve in the pressure change curves of the current time period of multiple pilot-operated valves.

[0034] In one embodiment, determining the abnormal state type and the abnormal state position according to the abnormal pressure change curve and the associated pressure change curve includes:

[0035] Detecting whether a curve area of ​​the abnormal pressure change curve and the associated pressure change curve that exceeds a preset ratio is located above a preset reference baseline; and whether a trend difference value of the curve change trends of the abnormal pressure change curve and the associated pressure change curve is less than a preset first trend difference value threshold; wherein the preset reference baseline is determined according to a target abnormal state case;

[0036] When it is determined that the abnormal pressure change curve and the associated pressure change curve have a curve area exceeding a preset ratio and located above a preset reference baseline; and the trend difference value of the curve change trend of the abnormal pressure change curve and the associated pressure change curve is less than a preset first trend difference value threshold, the abnormal state type is determined to be ash blockage in the ash conveying pipeline;

[0037] When it is determined that the abnormal state type is ash blocking in the ash conveying pipeline, a preset number of pilot-type tethered valves including at least a target tethered valve and an associated tethered valve and continuously arranged on the ash conveying pipeline are determined as associated tethered valves;

[0038] Obtaining and determining an abnormal starting tethering valve and an abnormal ending tethering valve from a plurality of related tethering valves according to a pressure variation curve of the related tethering valves in a current time period;

[0039] According to the position parameters of the local pipeline area of ​​the ash conveying pipeline to which the abnormal start valve belongs and the position parameters of the local pipeline area of ​​the ash conveying pipeline to which the abnormal end valve belongs, the abnormal state pipeline with ash blockage is determined on the ash conveying pipeline.

[0040] In one embodiment, determining the abnormal state type and the abnormal state position according to the abnormal pressure change curve and the associated pressure change curve further includes:

[0041] Detect whether a trend difference value of a curve change trend between an abnormal pressure change curve and a related pressure change curve is greater than or equal to a preset second trend difference value threshold;

[0042] In the case where it is determined that the trend difference value of the curve change trend of the abnormal pressure change curve and the associated pressure change curve is greater than or equal to a preset second trend difference value threshold, the abnormal state type is determined to be a pilot-operated valve failure;

[0043] The pilot operated valve corresponding to the abnormal pressure change curve is determined as the fault state valve.

[0044] The present specification also provides an abnormal state detection device for an ash conveying system of a thermal power station, which is applied to a cloud server, wherein the cloud server is connected to the ash conveying system of the thermal power station, wherein the ash conveying system at least includes: an ash conveying pipeline and a gas pipeline; a plurality of pilot-operated tethered valves are correspondingly arranged at a plurality of preset positions of the ash conveying pipeline, the pilot-operated tethered valves are also connected to the gas pipeline, and the pilot-operated tethered valves are also provided with corresponding wireless pressure sensors; the wireless pressure sensors are connected to the cloud server via a preset wireless network structure, and the device includes:

[0045] An acquisition module, used to acquire pressure data sequences of multiple current time periods collected by multiple wireless pressure sensors through a preset wireless network structure;

[0046] An updating module, used for updating the ash conveying system model of the previous time period according to the pressure data sequences of the multiple current time periods, to obtain the ash conveying system model of the current time period;

[0047] The first determination module is used to determine the pressure change curves of the multiple pilot-operated valves in the current time period according to the ash conveying system model in the current time period;

[0048] A detection module, used to obtain and detect whether there is an abnormal pressure change curve in the pressure change curves of the current time period of the multiple pilot-operated tethered valves according to the curve characteristics of the pressure change curves of the current time period of the multiple pilot-operated tethered valves;

[0049] The second determination module is used to determine that the ash conveying system is currently in an abnormal state when it is determined that there is an abnormal pressure change curve; and determine the pilot-operated tethered valve corresponding to the abnormal pressure change curve as the target tethered valve;

[0050] The third determination module is used to determine a plurality of pilot-operated tethered valves adjacent to the target tethered valve as associated tethered valves; and obtain a pressure change curve of the associated tethered valve in a current time period as an associated pressure change curve;

[0051] The fourth determination module is used to determine the abnormal state type and the abnormal state position according to the abnormal pressure change curve and the associated pressure change curve.

[0052] Based on the abnormal state detection method and device of the ash conveying system of a thermal power plant provided in this specification, before specific implementation, the ash conveying system of the thermal power plant can be modified first, and a corresponding wireless pressure sensor can be arranged on the pilot-operated valve of the ash conveying pipeline; and the wireless pressure sensor can be connected to the cloud server through a preset wireless network structure. In specific implementation, the cloud server can obtain multiple pressure data sequences of current time periods collected by multiple wireless pressure sensors; and based on the pressure data sequences of multiple current time periods, update the ash conveying system model of the previous time period to obtain the ash conveying system model of the current time period; then determine the pressure change curves of the current time period of multiple pilot-operated tethered valves based on the ash conveying system model of the current time period; obtain and detect whether there are abnormal pressure change curves in the pressure change curves of the current time period of multiple pilot-operated tethered valves based on the curve characteristics of the pressure change curves of the current time period of multiple pilot-operated tethered valves; when it is determined that there are abnormal pressure change curves, determine that the ash conveying system currently has an abnormal state; and determine the pilot-operated tethered valve corresponding to the abnormal pressure change curve as the target tethered valve; then determine multiple pilot-operated tethered valves adjacent to the target tethered valve as associated tethered valves; and obtain the pressure change curves of the current time period of the associated tethered valves as the associated pressure change curves; use the abnormal pressure change curves and the associated pressure change curves together to determine the specific abnormal state type and abnormal state location. Therefore, it can be better adapted to the operation and maintenance scenarios of the ash conveying system in thermal power plants with large-scale pipelines and complex conditions. It can efficiently and accurately intelligently detect and identify the abnormal status of the ash conveying system, as well as the specific type and location of the abnormal status, thereby effectively reducing the workload of the operation and maintenance personnel and ensuring the safe operation of the ash conveying system. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of this specification, the drawings required for use in the embodiments will be briefly introduced below. The drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0054] Figure 1 It is a flow chart of an abnormal state detection method of an ash conveying system of a thermal power station provided by an embodiment of the present specification;

[0055] Figure 2 It is a schematic diagram of an embodiment of an abnormal state detection method of an ash conveying system of a thermal power station provided by an embodiment of this specification, in a scenario example;

[0056] Figure 3 It is a schematic diagram of an embodiment of an abnormal state detection method of an ash conveying system of a thermal power station provided by an embodiment of this specification, in a scenario example;

[0057] Figure 4 It is a schematic diagram of an embodiment of an abnormal state detection method of an ash conveying system of a thermal power station provided by an embodiment of this specification, in a scenario example;

[0058] Figure 5 It is a schematic diagram of an embodiment of an abnormal state detection method of an ash conveying system of a thermal power station provided by an embodiment of this specification, in a scenario example;

[0059] Figure 6 It is a schematic diagram of an embodiment of an abnormal state detection method of an ash conveying system of a thermal power station provided by an embodiment of this specification, in a scenario example;

[0060] Figure 7 It is a schematic diagram of an embodiment of an abnormal state detection method of an ash conveying system of a thermal power station provided by an embodiment of this specification, in a scenario example;

[0061] Figure 8 It is a schematic diagram of an embodiment of an abnormal state detection method of an ash conveying system of a thermal power station provided by an embodiment of this specification, in a scenario example;

[0062] Fig. 9 It is a schematic diagram of an embodiment of an abnormal state detection method of an ash conveying system of a thermal power station provided by an embodiment of this specification, in a scenario example;

[0063] Fig.10 It is a schematic diagram of the structure of a server provided by an embodiment of this specification;

[0064] Fig.11 It is a schematic diagram of the structural composition of an abnormal state detection device for an ash conveying system of a thermal power station provided by an embodiment of the present specification. DETAILED DESCRIPTION

[0065] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0066] It should be noted that in the embodiments of this specification, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0067] See also Figure 1 As shown, the embodiment of this specification provides a method for detecting abnormal state of an ash conveying system of a thermal power station. The method is specifically applied to a cloud server side.

[0068] For details, please refer to Figure 2 As shown, the cloud server is connected to the ash conveying system of the thermal power station, wherein the ash conveying system may at least include: an ash conveying pipeline and a gas pipeline; a plurality of pilot-operated tethered valves are correspondingly deployed at a plurality of preset positions of the ash conveying pipeline, the pilot-operated tethered valves are also connected to the gas pipeline, and the pilot-operated tethered valves are also provided with corresponding wireless pressure sensors; the wireless pressure sensors are connected to the cloud server via a preset wireless network structure. In specific implementation, the method may include the following contents:

[0069] S101: acquiring pressure data sequences of multiple current time periods collected by multiple wireless pressure sensors through a preset wireless network structure;

[0070] S102: updating the ash conveying system model of the previous time period according to the pressure data sequences of the current time period to obtain the ash conveying system model of the current time period;

[0071] S103: determining the pressure variation curves of the multiple pilot-operated valves in the current time period according to the ash conveying system model in the current time period;

[0072] S104: acquiring and detecting whether there is an abnormal pressure change curve in the pressure change curves of the multiple pilot-operated tethered valves in the current time period according to curve characteristics of the pressure change curves of the multiple pilot-operated tethered valves in the current time period;

[0073] S105: when it is determined that there is an abnormal pressure change curve, determining that the ash conveying system is currently in an abnormal state; and determining the pilot-operated tethered valve corresponding to the abnormal pressure change curve as the target tethered valve;

[0074] S106: determining a plurality of pilot-operated tethered valves adjacent to the target tethered valve as associated tethered valves; and obtaining a pressure variation curve of the associated tethered valves in a current time period as an associated pressure variation curve;

[0075] S107: Determine the abnormal state type and the abnormal state position according to the abnormal pressure change curve and the associated pressure change curve.

[0076] For details, please refer to Figure 3 As shown, the above ash conveying system can be applied to thermal power plants. Fly ash generated in the generator room of a thermal power plant, as well as pneumatic powders such as fly ash generated in various other related areas, can be transported to an ash storage bin over a long distance through an ash conveying pipeline for storage.

[0077] For details, see Figure 2 As shown, corresponding sending tanks can be deployed in the generator room and other related areas, and the sending tanks are connected to the ash conveying pipeline to deliver the generated pneumatic powders such as fly ash into the ash conveying pipeline. On the main road and branch road of the above-mentioned ash conveying pipeline, corresponding air compressors are respectively set and used to supply high-pressure air to the ash conveying pipeline, which serves as the main power source to transport pneumatic powders such as fly ash along the ash conveying pipeline to the ash storage.

[0078] For further information, see Figure 2 As shown, a plurality of pilot-operated valves are deployed at a plurality of preset positions of the ash conveying pipeline. The pilot-operated valves are connected to the ash conveying pipeline and to the accompanying gas pipeline, and are used to perform auxiliary soot blowing in the ash conveying pipeline using the high-pressure gas in the accompanying gas pipeline when necessary, so as to avoid ash blockage in the ash conveying pipeline.

[0079] See also Figure 3 It can be seen that the scale of the thermal power station itself is relatively large, which leads to the relatively large scale of the supporting ash conveying system. Usually the total length of the ash conveying pipeline will reach several kilometers; and the structure of the above-mentioned ash conveying system itself is relatively complex, and the number of connected and involved equipment and devices is large; and due to the construction requirements of the thermal power station, the above-mentioned ash conveying pipeline is generally set at a higher position from the ground. As a result, based on conventional detection methods, if it relies on manual inspection by operation and maintenance personnel, it is often difficult to efficiently, accurately and comprehensively detect abnormal conditions of the ash conveying system in a timely manner. In addition, due to the particularity of the production and operation of thermal power stations, the ash conveying pipelines and related equipment are mostly in a high temperature and strong electromagnetic interference environment, which makes it difficult to accurately collect and transmit the required signal data based on conventional data collection methods.

[0080] In view of the above problems and the root causes of the above problems, the applicant considered that the ash conveying system could be modified. First, a corresponding wireless pressure sensor was set on the pilot valve of the ash conveying system. In this way, the required pressure data can be smoothly collected without manual inspection by operation and maintenance personnel. At the same time, a preset wireless network structure that is compatible with the production and operation environment of the thermal power station and has good resistance to high temperature and electromagnetic interference was introduced, and the preset wireless network structure was used to connect the wireless pressure sensor and the cloud server. In this way, the influence of high temperature environment and electromagnetic interference on signal data collection can be reduced, so that the cloud server can obtain pressure data with higher accuracy and smaller error. The preset wireless network structure will be explained in detail later.

[0081] The above-mentioned pilot-operated tethered valve (or pilot-operated automatic tethered valve) can be found in Figure 4 As shown. A corresponding wireless pressure sensor can also be arranged above the pilot-operated valve. One wireless pressure sensor corresponds to one pilot-operated valve, and is used to collect pressure data inside the corresponding pilot-operated valve. One pressure data sequence of the current time period corresponds to one pilot-operated valve.

[0082] In specific implementation, the wireless pressure sensor can be connected to the pilot-operated automatic tethering valve by threads. In this way, no additional processing is required on the pilot-operated automatic tethering valve, and the wireless pressure sensor can be firmly installed on the corresponding pilot-operated automatic tethering valve without changing the function and structure of the pilot-operated automatic tethering valve.

[0083] Specifically, the wireless pressure sensor is different from a conventional pressure sensor and is a pressure sensor that supports wireless communication, for example, it may include a signal transceiver unit. Furthermore, the wireless pressure sensor may also be a low-power wireless pressure sensor, for example, it may adopt a self-powered micro-power design and have a service life of more than five years.

[0084] The above-mentioned cloud server can be understood as a background server deployed on one side of the operation and maintenance center of the ash conveying system of a thermal power station, which can realize functions such as data transmission and data processing. Specifically, the server can be, for example, an electronic device with data calculation, storage and network interaction functions. Alternatively, the server can also be a software program running in the electronic device to provide support for data processing, storage and network interaction. In this embodiment, the number of the servers is not specifically limited. The server can specifically be one server, several servers, or a server cluster formed by several servers.

[0085] Specifically, based on the improved ash conveying system mentioned above, the cloud server can first accurately and efficiently obtain the pressure data of the current time period collected and uploaded by the wireless pressure sensor through a preset wireless network structure (for example, the pressure data sequence of the current time period obtained by processing the pressure data directly collected in the current time period); then, according to the corresponding processing rules, use the above pressure data in combination with the digital twin to construct and update the digital model of the ash conveying system (referred to as the ash conveying system model); according to the ash conveying system model, by determining and analyzing the pressure change curve of the pilot-operated valve, automatically detect and determine whether the ash conveying system is in an abnormal state; and when it is determined that the ash conveying system is in an abnormal state, further intelligently determine the abnormal state type and abnormal state location regarding the abnormal state; then promptly prompt the operation and maintenance personnel so that the abnormal state in the ash conveying system can be eliminated in a timely and efficient manner to ensure the safe and stable operation of the overall ash conveying system.

[0086] Among them, the above-mentioned digital twin (Digital Twin) specifically refers to the technology of making full use of physical models, sensors, operation history and other data, integrating multi-disciplinary, multi-physical quantity, multi-scale, and multi-probability simulation processes, completing mapping in virtual space, and establishing a digital model that can reflect the entire life cycle process of the corresponding physical equipment.

[0087] The pressure data of the current time period corresponds to a wireless pressure sensor and a pilot-operated valve, and a pilot-operated valve corresponds to a local pipeline area of ​​the ash conveying pipeline.

[0088] In specific implementation, the wireless pressure sensor can collect the pressure data of the corresponding pilot-operated valve at every time point (for example, every 1 second); and at every time period (for example, every 10 minutes), the pressure data collected in the current time period is processed, and then arranged in order from early to late to obtain the corresponding pressure data sequence of the current time period; and then use the signal transceiver unit inside the wireless pressure sensor to report the pressure data sequence of the current time period to the server through the preset wireless network structure.

[0089] The wireless pressure sensor can also collect the pressure data of the corresponding pilot-operated valve at intervals of time, and directly upload the collected pressure data to the preset wireless network structure. The preset wireless network structure can process the pressure data of multiple time points uploaded by each wireless pressure sensor in the current time period at intervals of time, and respectively process the multiple pressure data uploaded by each wireless pressure sensor in the current time period, and then arrange them in order from early to late to obtain the pressure data sequence corresponding to the time period; then the preset wireless network structure centrally forwards the pressure data sequences of multiple current time periods corresponding to multiple wireless pressure sensors to the cloud server.

[0090] For the cloud server, the basic attribute parameters of the ash conveying system can be obtained first, including: the size parameters of the ash conveying system (for example, the length, diameter, turning position, etc. of the ash conveying pipeline), the performance parameters of the ash conveying system (for example, the maximum ash conveying flow rate of the ash conveying pipeline, the maximum pressure that the ash conveying pipeline can withstand, the maximum temperature that the ash conveying pipeline can withstand, etc.), the material parameters of the ash conveying system (for example, the material of the ash conveying pipeline, the material of the accompanying gas pipeline, the material of the connection structure between the pilot-operated valve and the ash conveying pipeline and the accompanying gas pipeline, etc.), and the operating parameters of the thermal power station (for example, the operating power of the thermal power station, the scale of the thermal power station, the average size of the fly ash generated by the thermal power station, etc.); then, the basic attribute parameters of the ash conveying system and the operating parameters of the thermal power station are combined to carry out simulation modeling based on digital twins to construct the corresponding initial ash conveying system model. Then, at every interval of a time period, the pressure data of the latest time period can be obtained and used to continuously update the above-mentioned ash conveying system model, so as to obtain the latest ash conveying system model (for example, the ash conveying system model of the current time period corresponding to the current time period) which can timely and accurately reflect the actual operation status of the ash conveying system in each time period.

[0091] Furthermore, the latest ash conveying system model can be used in combination with other devices and equipment associated with each pilot-operated valve, as well as pressure change data of multiple continuous time periods such as the current time period, the previous time period, and even the previous time period, to obtain the latest pressure change curves of each pilot-operated valve that fully and comprehensively considers the various influencing factors in the ash conveying system and matches the operating environment of the thermal power station (for example, the pressure change curve of the current time period). Then, using the latest pressure change curve, based on the dimension of the image, the relevant curve features are obtained and used to analyze and process the complex pressure change relationship within the ash conveying system, so that the abnormal state in the ash conveying system can be automatically detected and identified more efficiently and accurately; and the specific abnormal state type and abnormal state location can be precisely determined.

[0092] In some embodiments, the cloud server may also be connected to the operation and maintenance terminal via wired or wireless means.

[0093] The operation and maintenance terminal may specifically include a front end applied to the operation and maintenance personnel and capable of realizing functions such as data collection and data transmission. Specifically, the operation and maintenance terminal may be, for example, an electronic device such as a desktop computer, a tablet computer, a laptop computer, a smart phone, etc. Alternatively, the operation and maintenance terminal may also be a software application that can be run in the above electronic devices.

[0094] For specific implementation, see Figure 5 As shown, the operation and maintenance personnel can connect to the cloud server through the operation and maintenance terminal to view the ash conveying system operation status summary diagram for the current time period; wherein, the above-mentioned ash conveying system operation status summary diagram for the current time period can be generated based on the ash conveying system model for the current time period, combined with the abnormal status detection results of the ash conveying system for the current time period.

[0095] Specifically, the above ash conveying system operation status summary diagram can fully and completely display the current operation status of each ash conveying pipeline and the operation status of each pilot-operated valve. When the ash conveying system is currently in an abnormal state, the above ash conveying system operation status summary diagram can also display the corresponding abnormal prompt; and identify the specific abnormal state location and abnormal state type in the diagram.

[0096] For specific implementation, for example, see Figure 5 As shown, the shaded part on the right represents the indoor ash conveying workshop. The shaded part on the left represents the indoor economizer. Among them, there are four ash conveying pipelines (i.e. ash conveying units) on the right side of the ash conveying workshop, and each ash conveying unit has four fly ash sending tanks. Each digital number in the figure corresponds to a micro-power wireless pressure sensor. The sensor with obvious data changes is 1 and the sensor without obvious data changes is 0. If 654 and 652 are 1, and 650 and 648 are also 1, it means that the ash conveying unit 2 is working. If 652 is 0, and 650 and 648 are 1, it means that the ash conveying unit 4 is working. If 611, 607, and 287 are 1, and 289 and 609 are 0, it means that the ash conveying unit 1 is working. If 289 and 609 are 1, it means that the ash conveying unit 3 is working. If 611, 607, 287 are 1, and 289 and 609 are also 1, it means that the ash conveying units 1 and 3 are working at the same time. In addition, the number of wireless pressure sensors installed can be marked on each pipeline, for example, 34, 11, etc.

[0097] In addition, when the cloud server detects that the ash conveying system is currently in an abnormal state, it can also actively send a corresponding abnormal prompt to the operation and maintenance terminal; wherein the abnormal prompt can carry relevant information such as the abnormal state location and abnormal state type. In this way, the operation and maintenance personnel can be notified of the abnormal state of the ash conveying system in a timely manner so that the abnormal state can be eliminated in time to ensure the safe operation of the ash conveying system.

[0098] In some embodiments, the abnormal state type includes at least one of the following: failure of the pilot-operated automatic valve, blockage of the ash conveying pipeline, leakage of the ash conveying pipeline, etc.

[0099] It should be noted that the above-listed abnormal state types are only schematic illustrations. In specific implementation, according to specific application scenarios and processing requirements, the above-listed abnormal state types may also include other types. This specification does not limit this.

[0100] In some embodiments, see Figure 6 As shown, the above-mentioned preset wireless network structure may specifically include: a preset signal converter and multiple preset repeaters; wherein, the multiple preset repeaters are respectively connected to the corresponding wireless pressure sensors, the multiple preset repeaters are connected to the preset signal converter, and the preset signal converter is connected to the cloud server.

[0101] Based on the above preset wireless network structure, refer to Figure 7 As shown, the above-mentioned acquisition of pressure data sequences of multiple current time periods collected by multiple wireless pressure sensors may include the following contents when implemented specifically:

[0102] S1: using a plurality of preset repeaters to receive the current signal uploaded by each wireless pressure sensor; wherein the current signal carries a plurality of pressure data of the pilot-operated valve collected by the wireless pressure sensor in the current time period;

[0103] S2: using a plurality of preset repeaters to perform signal amplification and / or signal modulation processing on the current signal to obtain an enhanced signal;

[0104] S3: extracting multiple pressure data of the pilot-operated valve collected in the current time period from the enhanced signal using a preset signal converter, and performing corresponding adjustment processing to obtain corresponding multiple pressure data sequences of the current time period.

[0105] Specifically, considering that ash conveying pipelines and related equipment (including wireless pressure sensors) are mostly in an environment with strong electromagnetic interference, the cloud server cannot directly collect pressure data with small errors through wireless pressure sensors.

[0106] In order to solve the above problems, firstly, a plurality of preset repeaters (or wireless repeaters) are introduced into the preset wireless network structure. Each preset repeater is deployed in an area of ​​the ash conveying system, and is responsible for connecting to a plurality of wireless pressure sensors in the area. The wireless pressure sensors in each area can be set to periodically report the multiple pressure data of the pilot-operated valve collected in the current time period to the preset repeater in the corresponding area in the form of a current signal. Among them, each of the above multiple pressure data can carry a corresponding timestamp, and the above timestamp is generated according to the collection time of the pressure data.

[0107] Before specific implementation, electromagnetic interference signal data in each area can be collected; and the data characteristics of the electromagnetic interference signal data in each area can be analyzed (for example, interference waveform, interference frequency, interference amplitude, etc.); the electromagnetic interference signal processing rules for each area can be determined based on the data characteristics of the electromagnetic interference signal data of the content of each area; and the electromagnetic interference signal processing rules for each area can be sent to the preset repeater in the corresponding area.

[0108] Correspondingly, after receiving the current signals reported by multiple wireless pressure sensors in the area, the preset repeater can perform targeted signal amplification and / or signal modulation processing on the received current signals according to the corresponding electromagnetic interference signal processing rules, so as to effectively eliminate the error influence caused by the electromagnetic interference data in the area and obtain an enhanced signal with higher accuracy and smaller error.

[0109] Furthermore, a preset signal converter (or wireless signal converter) is introduced into the preset wireless network structure. The preset signal converter is connected to each preset repeater.

[0110] In specific implementation, the preset repeater can upload the enhanced signals to the preset signal converter. Accordingly, the preset signal converter receives the enhanced signal to parse and obtain multiple pressure data of the current time period corresponding to each pilot-operated valve; first, according to the transmission protocol and the data processing requirements of the cloud server, the multiple pressure data are formatted and converted to obtain multiple converted pressure data; then, according to the timestamps carried in the pressure data, the multiple converted pressure data are arranged in order from early to late to obtain multiple current time period pressure data sequences corresponding to each pilot-operated valve; then, based on the corresponding transmission protocol, the multiple current time period pressure data sequences are sent to the cloud server. In this way, the cloud server can efficiently obtain a pressure data sequence with small errors and suitable for processing.

[0111] In some embodiments, see Figure 8As shown, the above acquisition and detection of whether there is an abnormal pressure change curve in the pressure change curves of the current time period of the multiple pilot-operated tethered valves according to the curve characteristics of the pressure change curves of the current time period of the multiple pilot-operated tethered valves may include the following contents during specific implementation:

[0112] S1: obtaining the current operating parameters of the ash conveying system; wherein the operating parameters at least include: ash conveying frequency, ash conveying time, and ash conveying air pressure;

[0113] S2: According to the current operating parameters of the ash conveying system, a matching target abnormal state case is determined from a preset abnormal state case library;

[0114] S3: according to the target abnormal state case, extract the corresponding curve feature from the pressure change curve of the pilot-operated valve in the current time period;

[0115] S4: According to the target abnormal state case and curve characteristics, detect whether there is an abnormal pressure change curve in the pressure change curves of the current time period of multiple pilot-operated valves.

[0116] Before specific implementation, the cloud server can collect a large number of historical operation records of the ash conveying system when it is running in conjunction with the thermal power station, as well as the test experimental data of the ash conveying system before it is put into operation; wherein the historical operation records at least include the operating status of the ash conveying system, the pressure data of each pilot sensor in the ash conveying system, and the operating parameters of the ash conveying system when the ash conveying system is running in conjunction with the thermal power station. According to the operating parameters of the ash conveying system, the historical operation records are subjected to a first clustering process to obtain multiple record data groups; wherein each record data group corresponds to a parameter range of an operating parameter of the ash conveying system. For each record data group, the test experimental data are used to screen out the abnormal state operation records and normal state operation records in the record data group; then the pressure data of the pilot-operated valve in the abnormal state operation record are subjected to a second clustering process to establish a corresponding initial abnormal state case (for example, a typical pressure change curve corresponding to the abnormal state); at the same time, the pressure data of the pilot-operated valve in the normal state operation record are subjected to a third clustering process to establish a corresponding initial normal state case (for example, a typical pressure change curve corresponding to the normal state); then the initial abnormal state case and the initial normal state case are used together to perform curve feature comparison; and based on the comparison results, a curve feature with a high degree of distinction and relatively clear relative to the initial normal state case is screened out from the initial abnormal state case, and the reference feature value of the curve feature is combined to obtain the corresponding preset abnormal state case.

[0117] Then, a plurality of preset abnormal state cases are combined, and a corresponding relationship between each preset abnormal state case and a parameter range of an operating parameter of the ash conveying system is established to obtain a corresponding preset abnormal state case library.

[0118] During specific implementation, the preset abnormal state case library can be retrieved according to the current operating parameters of the ash conveying system, and the preset abnormal state case corresponding to the parameter range of the operating parameters of the ash conveying system hit by the current operating parameters of the ash conveying system can be determined as the matching target abnormal state case.

[0119] Furthermore, the corresponding curve features can be extracted from the pressure change curve of the pilot-operated valve in the current time period according to the target abnormal state case. The above curve features may include one or more of the following: the time interval between the local change curves whose change amplitude exceeds the specified amplitude, the slope of the local change curve whose change amplitude exceeds the specified amplitude when it rises and when it falls, the duration of the local curve that is continuously in a stable high-pressure value state, the duration of the local curve that is continuously in a stable zero-pressure value state, the duration of the local curve that is continuously in a fixed pressure value state, etc.

[0120] In specific implementation, according to different abnormal state cases, the corresponding curve characteristics and the reference value of the curve characteristics can be determined. Then, the corresponding curve characteristics can be extracted from the pressure change curve of the current time period of the pilot-operated valve; and the curve characteristics can be compared with the corresponding curve characteristic reference value to obtain the corresponding comparison result; according to the comparison result, it is determined whether there is an abnormal pressure change curve in the pressure change curve of the current time period of the pilot-operated valve.

[0121] Specifically, for a pressure change curve of a pilot-operated valve in the current time period, the extracted and detected curve features may include multiple different curve features. Accordingly, the obtained comparison result may include multiple comparison results corresponding to multiple different curve features. Further, a weighted summation may be performed based on the multiple comparison results to obtain a weighted result; based on the weighted result, it is determined whether it is an abnormal pressure change curve.

[0122] When it is determined that there is at least one abnormal pressure change curve in the pressure change curves of the current time period of the plurality of pilot-operated valves, it can be determined that the ash conveying system is currently in an abnormal state.

[0123] On the contrary, when it is determined that there is no abnormal pressure change curve in the pressure change curves of the current time period of multiple pilot-operated valves, it can be determined that the current operating status of the ash conveying system is normal, and the operating status of the ash conveying system in the next time period can continue to be monitored in the above manner.

[0124] In a specific implementation, the above-mentioned target abnormal state case may also include multiple curve feature reference groups; wherein each curve feature reference group corresponds to an area, and includes the curve features for the area, and the curve feature reference value.

[0125] Accordingly, during specific implementation, the regional identification of the area corresponding to the pressure change curve of each pilot-operated tethered valve can be determined; then, based on the regional identification, the curve feature reference groups corresponding to the pressure change curves of each pilot-operated tethered valve are determined from the target abnormal state cases; then, using the corresponding curve feature reference groups, the corresponding curve features are extracted from the pressure change curves of each pilot-operated tethered valve in the current time period to perform specific detection of abnormal pressure change curves.

[0126] Based on the above embodiments, it is possible to more efficiently and accurately use the ash conveying system model detection in the current time period to determine whether there is an abnormal pressure change curve in the ash conveying system.

[0127] In some embodiments, see Fig. 9 As shown, according to the abnormal pressure change curve and the associated pressure change curve, the abnormal state type and the abnormal state position are determined. When implemented specifically, the following contents may be included:

[0128] S1: Detect whether a curve area of ​​the abnormal pressure change curve and the associated pressure change curve that exceeds a preset ratio is located above a preset reference baseline; and whether a trend difference value of the curve change trend of the abnormal pressure change curve and the associated pressure change curve is less than a preset first trend difference value threshold;

[0129] S2: when it is determined that the abnormal pressure change curve and the associated pressure change curve have a curve area exceeding a preset ratio and located above a preset reference baseline; and the trend difference value of the curve change trends of the abnormal pressure change curve and the associated pressure change curve is less than a preset first trend difference value threshold, determining that the abnormal state type is ash blockage in the ash conveying pipeline;

[0130] S3: When it is determined that the abnormal state type is ash blocking in the ash conveying pipeline, a preset number of pilot-type tethered valves including at least a target tethered valve and an associated tethered valve and continuously arranged on the ash conveying pipeline are determined as associated tethered valves;

[0131] S4: obtaining and determining an abnormal starting tethering valve and an abnormal ending tethering valve from a plurality of related tethering valves according to a pressure variation curve of the related tethering valves in a current time period;

[0132] S5: According to the position parameters of the local pipeline area of ​​the ash conveying pipeline to which the abnormal start valve belongs and the position parameters of the local pipeline area of ​​the ash conveying pipeline to which the abnormal end valve belongs, the abnormal state pipeline with ash blockage is determined on the ash conveying pipeline.

[0133] The preset reference baseline and preset ratio may be determined based on the target abnormal state case. The preset reference baseline may indicate a relatively large pressure value. The first trend difference value threshold may be a relatively small value close to 0.

[0134] The above-mentioned associated tethering valves may specifically be at least two pilot tethering valves directly adjacent to the target tethering valve on the ash conveying pipeline.

[0135] The above-mentioned related tether valves can specifically be a preset number (for example, 10) of continuous pilot tether valves on the local ash conveying pipeline belonging to the same area as the target tether valve, including at least the target tether valve and the related tether valves.

[0136] In specific implementation, based on the target abnormal state case and in combination with the pressure change curve of the previous time period of the target tyre valve, a normal state deviation detection can be performed on multiple related tyre valves; based on the detection results, multiple continuously arranged related tyre valves whose normal state deviation is greater than a preset deviation threshold are screened out from the multiple related tyre valves as abnormal tyre valves involved in the abnormal state; then, based on the identification information of the abnormal tyre valves, the abnormal tyre valve with the highest ranking and the abnormal tyre valve with the lowest ranking are determined from the multiple abnormal tyre valves as the abnormal starting tyre valve and the abnormal ending tyre valve, respectively; finally, based on the position parameters of the local pipeline area of ​​the ash conveying pipeline to which the abnormal starting tyre valve belongs and the position parameters of the local pipeline area of ​​the ash conveying pipeline to which the abnormal ending tyre valve belongs, a local pipeline area between the abnormal starting tyre valve and the abnormal ending tyre valve is determined on the ash conveying pipeline as an abnormal state pipeline with ash blockage.

[0137] In some embodiments, the above-mentioned determination of the abnormal state type and the abnormal state position according to the abnormal pressure change curve and the associated pressure change curve may further include the following contents during specific implementation:

[0138] S1: Detect whether a trend difference value between a curve change trend of an abnormal pressure change curve and a related pressure change curve is greater than or equal to a preset second trend difference value threshold;

[0139] S2: when it is determined that the trend difference value of the curve change trend of the abnormal pressure change curve and the associated pressure change curve is greater than or equal to a preset second trend difference value threshold, determining that the abnormal state type is a pilot-operated valve failure;

[0140] S3: Determine the pilot-operated valve corresponding to the abnormal pressure change curve as a fault-state valve.

[0141] The preset second trend difference value threshold may specifically be a relatively large value.

[0142] Based on the above embodiments, different detection methods can be used to accurately determine the type of abnormal state; and for different types of abnormal states, targeted determination methods can be used to accurately determine the location of the abnormal state, so that the abnormal state can be repaired in a timely and accurate manner to ensure the overall safe operation of the ash conveying system.

[0143] In some embodiments, after determining the abnormal state type and the abnormal state position according to the abnormal pressure change curve and the associated pressure change curve, the method may further include the following when implemented:

[0144] S1: Combine the abnormal state type and the abnormal state position to obtain abnormal state combination information;

[0145] S2: According to the abnormal state combination information, query the preset abnormality handling strategy set to determine the matching target abnormality handling strategy;

[0146] S3: According to the target abnormality handling strategy, the ash conveying system is subjected to corresponding abnormal state elimination processing.

[0147] Before specific implementation, a large number of historical abnormal state repair and processing records about the ash conveying system and the sample system that is the same as the ash conveying system can be collected; the relevant abnormal state type and abnormal state location are extracted from the historical abnormal state repair and processing records; based on the combined information of the abnormal state type and the abnormal state location, the historical abnormal state repair and processing records are clustered to obtain multiple preset abnormal state processing strategies corresponding to different abnormal state combination information; and multiple preset abnormal state processing strategies are combined to construct a preset abnormal state processing strategy set.

[0148] During specific implementation, while sending abnormal prompts about the ash conveying system to the operation and maintenance terminal, a matching target abnormality handling strategy can also be sent to the operation and maintenance terminal so that the operation and maintenance personnel can use the target abnormality handling strategy as a reference to more accurately and efficiently eliminate the abnormal state of the ash conveying system.

[0149] Based on the above embodiments, operation and maintenance personnel can be assisted to eliminate abnormal conditions of the ash conveying system efficiently and accurately to ensure the safe operation of the ash conveying system.

[0150] In some embodiments, the wireless pressure sensor may also have a built-in smart chip; wherein the smart chip may support edge computing of a certain amount of data.

[0151] Correspondingly, after the wireless pressure sensor collects the pressure data of the corresponding pilot-operated valve, the method may further include the following contents when it is specifically implemented:

[0152] S1: Use the smart chip of the wireless pressure sensor to pre-detect and process the pressure data of the pilot-operated valve to obtain the corresponding pre-detection result;

[0153] S2: Based on the pre-detection result, when it is determined that an abnormal state exists, using the pressure sensor to generate an abnormal prompt about the corresponding pilot-operated valve; wherein the abnormal prompt carries at least the position parameter of the local pipeline area of ​​the ash conveying pipeline to which the corresponding pilot-operated valve belongs;

[0154] S3: Using the pressure sensor to send the abnormal prompt to the operation and maintenance terminal through a preset wireless network structure.

[0155] The above-mentioned pre-detection processing may specifically include pressure data detection based solely on the corresponding pilot-operated valve.

[0156] Before specific implementation, the cloud server can collect and obtain a large amount of pressure sample data about independent sample pilot-operated valves; then use the pressure sample data to train the model to obtain a basic abnormal state detection model.

[0157] Furthermore, the cloud server may distribute the above basic abnormal state detection model to each wireless pressure sensor respectively; and deploy it in the smart chip of each wireless pressure sensor.

[0158] During the actual operation of the ash conveying system, each wireless pressure sensor can obtain and utilize the actually collected pressure data through the smart chip, perform transfer learning on the basic model, and obtain an abnormal state detection model that matches the pilot-operated valve corresponding to the wireless pressure sensor.

[0159] In specific implementation, after the wireless pressure sensor acquires the corresponding pressure data, it can also use the smart chip to call the matching abnormal state detection model to process the pressure data, implement pre-detection processing, and obtain the corresponding pre-detection results. According to the pre-detection results, when it is determined that an abnormal state exists, the smart chip of the pressure sensor can be directly used to generate an abnormal prompt about the pilot-operated valve; and the signal transceiver unit of the pressure sensor can be used to send the abnormal prompt to the operation and maintenance terminal through the preset wireless network structure to prompt the operation and maintenance personnel in time. Among them, the above-mentioned abnormal prompt can also carry a position parameter for indicating the local pipeline area of ​​the ash conveying pipeline to which the pilot-operated valve belongs.

[0160] In specific implementation, the operation and maintenance personnel can go to the local pipeline area for on-site inspection and maintenance according to the abnormal prompt. They can also conduct further relatively more detailed analysis and processing of the local pipeline area based on the location parameters and the ash conveying system model of the current time period to determine whether there is an abnormal state or a potential abnormal risk.

[0161] In addition, in the specific implementation, after the wireless pressure sensor collects the pressure data of the corresponding pilot-operated valve, the pressure data can be pre-processed by the smart chip; and then the pre-processed pressure data is sent to the cloud server through the preset wireless network structure. Among them, the above pre-processing can specifically include one or more of the following: filtering and denoising, vacancy value detection, preliminary processing, etc.

[0162] In some embodiments, after updating the ash conveying system model of the previous time period based on the pressure data sequences of multiple current time periods to obtain the ash conveying system model of the current time period, the pressure change curve of the current time period of the pilot-operated tethered valve (abbreviated as the key tethered valve) located at a key position on the ash conveying pipeline can be determined based on the ash conveying system model of the current time period.

[0163] The above key positions can be specifically understood as positions on the ash conveying pipeline where abnormal conditions such as ash blockage in the ash conveying pipeline are relatively likely to occur. Specifically, the above key positions can include at least one of the following: ash discharge position (for example, the node position where the sending tank is connected to the ash conveying pipeline), turning position (for example, the position where the ash conveying pipeline turns), rising position (for example, the position where the ash conveying pipeline rises), etc.

[0164] In specific implementation, the cloud server can consume relatively more processing resources based on relatively high detection accuracy requirements and give priority to abnormal state detection based on the pressure change curve of the key valve in the current time period.

[0165] When it is determined that there is no abnormal condition at the key position, based on the relatively low detection accuracy requirement, relatively less processing resources are consumed to detect the abnormal condition of the pressure change curves of the current time period of other pilot-operated valves except the key valve.

[0166] Thereby, relatively less overall processing resources can be consumed, and abnormal state detection of the ash conveying system in the current time period can be realized efficiently and comprehensively, thereby improving the overall detection efficiency.

[0167] It can be seen from the above that, based on the abnormal state detection method of the ash conveying system of a thermal power plant provided in the embodiment of this specification, before being implemented, the ash conveying system of the thermal power plant can be modified first, and a corresponding wireless pressure sensor can be arranged on the pilot valve of the ash conveying pipeline; and the wireless pressure sensor can be connected to the cloud server through a preset wireless network structure. In specific implementation, the cloud server can obtain multiple pressure data sequences of current time periods collected by multiple wireless pressure sensors; and based on the multiple pressure data sequences of current time periods, update the ash conveying system model of the previous time period to obtain the ash conveying system model of the current time period; then determine the pressure change curves of the current time period of multiple pilot-operated tethered valves based on the ash conveying system model of the current time period; obtain and detect whether there are abnormal pressure change curves in the pressure change curves of the current time period of multiple pilot-operated tethered valves based on the curve characteristics of the pressure change curves of the current time period of multiple pilot-operated tethered valves; when it is determined that there are abnormal pressure change curves, determine that the ash conveying system currently has an abnormal state; and determine the pilot-operated tethered valve corresponding to the abnormal pressure change curve as the target tethered valve; then determine multiple pilot-operated tethered valves adjacent to the target tethered valve as associated tethered valves; and obtain the pressure change curves of the current time period of the associated tethered valves as the associated pressure change curves; use the abnormal pressure change curves and the associated pressure change curves together to determine the type and location of the abnormal state. Therefore, it can be better adapted to the operation and maintenance scenarios of the ash conveying system in thermal power plants with large-scale pipelines and complex conditions. It can efficiently and accurately intelligently detect and identify the abnormal status of the ash conveying system, as well as the specific type and location of the abnormal status, effectively reducing the workload of the operation and maintenance personnel and ensuring the safe operation of the ash conveying system.

[0168] This specification embodiment provides a server, referring to Fig.10 The server includes a network communication port 1001, a processor 1002 and a memory 1003, and the above structures are connected through internal cables so that each structure can perform specific data interaction.

[0169] The network communication port 1001 can be specifically used to obtain pressure data sequences of multiple current time periods collected by multiple wireless pressure sensors through a preset wireless network structure.

[0170] The processor 1002 can be specifically used to update the ash conveying system model of the previous time period according to multiple pressure data sequences of the current time period to obtain the ash conveying system model of the current time period; determine the pressure change curves of the current time period of multiple pilot-operated tethered valves according to the ash conveying system model of the current time period; obtain and detect whether there is an abnormal pressure change curve in the pressure change curves of the current time period of multiple pilot-operated tethered valves according to the curve characteristics of the pressure change curves of the current time period of multiple pilot-operated tethered valves; when it is determined that there is an abnormal pressure change curve, determine that the ash conveying system is currently in an abnormal state; and determine the pilot-operated tethered valve corresponding to the abnormal pressure change curve as the target tethered valve; determine multiple pilot-operated tethered valves adjacent to the target tethered valve as associated tethered valves; and obtain the pressure change curves of the current time period of the associated tethered valves as the associated pressure change curves; and determine the abnormal state type and abnormal state position according to the abnormal pressure change curve and the associated pressure change curve.

[0171] The memory 1003 can be specifically used to store corresponding instruction programs, as well as pressure data sequences of multiple current time periods, pressure change curves of multiple pilot-operated valves in the current time period and other related data.

[0172] Based on the above method, the relevant structural performance of the server can be effectively utilized, the data processing speed of the electronic equipment can be improved, and the data processing of the abnormal state detection of the ash conveying system of the thermal power station can be efficiently realized.

[0173] In this embodiment, the network communication port 1001 can be a virtual port that is bound to different communication protocols so that different data can be sent or received. For example, the network communication port can be a port responsible for web data communication, a port responsible for FTP data communication, or a port responsible for email data communication. In addition, the network communication port can also be a physical communication interface or communication chip. For example, it can be a wireless mobile network communication chip, such as GSM, CDMA, etc.; it can also be a Wifi chip; it can also be a Bluetooth chip.

[0174] In this embodiment, the processor 1002 may be implemented in any appropriate manner. For example, the processor may take the form of a microprocessor or processor and a computer-readable medium storing a computer-readable program code (such as software or firmware) executable by the (micro)processor, a logic gate, a switch, an application specific integrated circuit (ASIC), a programmable logic controller, and an embedded microcontroller, etc. This specification does not limit this.

[0175] In this embodiment, the memory 1003 may include multiple levels. In a digital system, anything that can store binary data can be a memory; in an integrated circuit, a circuit with a storage function but no physical form is also called a memory, such as RAM, FIFO, etc.; in a system, a storage device with a physical form is also called a memory, such as a memory stick, TF card, etc.

[0176] The embodiment of the present specification also provides a computer-readable storage medium based on the abnormal state detection method of the ash conveying system of the thermal power plant mentioned above, wherein the computer-readable storage medium stores computer program instructions, and when the computer program instructions are executed, the following are achieved: obtaining a plurality of pressure data sequences of the current time periods collected by a plurality of wireless pressure sensors through a preset wireless network structure; updating the ash conveying system model of the previous time period according to the pressure data sequences of the multiple current time periods to obtain the ash conveying system model of the current time period; determining the pressure change curves of the current time period of a plurality of pilot-operated valves according to the ash conveying system model of the current time period; obtaining and determining the pressure change curves of the current time period of a plurality of pilot-operated valves according to the pressure data sequences of the multiple current time periods; and Based on the curve characteristics of the pressure change curve of the current time period of the pilot-operated tethered valve, it is detected whether there is an abnormal pressure change curve in the pressure change curves of the current time period of multiple pilot-operated tethered valves; when it is determined that there is an abnormal pressure change curve, it is determined that the ash conveying system is currently in an abnormal state; and the pilot-operated tethered valve corresponding to the abnormal pressure change curve is determined as the target tethered valve; multiple pilot-operated tethered valves adjacent to the target tethered valve are determined as associated tethered valves; and the pressure change curve of the current time period of the associated tethered valve is obtained as the associated pressure change curve; according to the abnormal pressure change curve and the associated pressure change curve, the type and position of the abnormal state are determined.

[0177] In this embodiment, the storage medium includes, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a cache, a hard disk (HDD), or a memory card. The memory may be used to store computer program instructions. The network communication unit may be an interface for network connection communication set in accordance with the standard specified by the communication protocol.

[0178] In this embodiment, the functions and effects specifically implemented by the program instructions stored in the computer-readable storage medium can be explained in comparison with other implementations and will not be described in detail here.

[0179] The embodiment of the present specification also provides a computer program product, which at least includes a computer program, and the computer program implements the following method steps when executed by a processor: obtaining a plurality of pressure data sequences of current time periods collected by a plurality of wireless pressure sensors through a preset wireless network structure; updating the ash conveying system model of the previous time period according to the pressure data sequences of the plurality of current time periods to obtain the ash conveying system model of the current time period; determining the pressure change curves of the current time period of a plurality of pilot-operated tethered valves according to the ash conveying system model of the current time period; obtaining and detecting whether there is an abnormal pressure change curve in the pressure change curves of the current time period of a plurality of pilot-operated tethered valves according to the curve characteristics of the pressure change curves of the current time period of a plurality of pilot-operated tethered valves; in the case of determining that there is an abnormal pressure change curve, determining that the ash conveying system currently has an abnormal state; and determining the pilot-operated tethered valve corresponding to the abnormal pressure change curve as the target tethered valve; determining a plurality of pilot-operated tethered valves adjacent to the target tethered valve as associated tethered valves; and obtaining the pressure change curves of the current time period of the associated tethered valves as the associated pressure change curves; determining the abnormal state type and abnormal state position according to the abnormal pressure change curve and the associated pressure change curve.

[0180] See also Fig.11 As shown, the embodiment of this specification also provides an abnormal state detection device for the ash conveying system of a thermal power station, and the device may specifically include the following structural modules:

[0181] The acquisition module 1101 may be specifically used to acquire pressure data sequences of multiple current time periods collected by multiple wireless pressure sensors through a preset wireless network structure;

[0182] The updating module 1102 may be specifically used to update the ash conveying system model of the previous time period according to the pressure data sequences of the multiple current time periods to obtain the ash conveying system model of the current time period;

[0183] The first determination module 1103 may be specifically used to determine the pressure variation curves of the multiple pilot-operated valves in the current time period according to the ash conveying system model in the current time period;

[0184] The detection module 1104 may be specifically used to obtain and detect whether there is an abnormal pressure change curve in the pressure change curves of the current time period of the multiple pilot-operated tethered valves according to the curve characteristics of the pressure change curves of the current time period of the multiple pilot-operated tethered valves;

[0185] The second determination module 1105 can be specifically used to determine that the ash conveying system is currently in an abnormal state when it is determined that there is an abnormal pressure change curve; and determine the pilot-operated tethered valve corresponding to the abnormal pressure change curve as the target tethered valve;

[0186] The third determination module 1106 may be specifically used to determine a plurality of pilot-operated tethered valves adjacent to the target tethered valve as associated tethered valves; and obtain a pressure change curve of the associated tethered valve in the current time period as an associated pressure change curve;

[0187] The fourth determination module 1107 may be specifically configured to determine the abnormal state type and the abnormal state position according to the abnormal pressure change curve and the associated pressure change curve.

[0188] In some embodiments, the abnormal state type may specifically include at least one of the following: failure of a pilot-operated automatic valve, blockage of an ash conveying pipeline, leakage of an ash conveying pipeline, etc.

[0189] In some embodiments, after determining the abnormal state type and the abnormal state position according to the abnormal pressure change curve and the associated pressure change curve, the device can also be used when implemented to: combine the abnormal state type and the abnormal state position to obtain abnormal state combination information; query a preset abnormal state handling strategy set based on the abnormal state combination information to determine a matching target abnormal state handling strategy; and perform corresponding abnormal state elimination processing on the ash conveying system based on the target abnormal state handling strategy.

[0190] In some embodiments, the preset wireless network structure may specifically include a preset signal converter and multiple preset repeaters; wherein, the multiple preset repeaters are respectively connected to the corresponding wireless pressure sensors, the multiple preset repeaters are connected to the preset signal converter, and the preset signal converter is connected to the cloud server.

[0191] In some embodiments, when the above-mentioned acquisition module 1101 is implemented, the pressure data sequences of multiple current time periods collected by multiple wireless pressure sensors can be obtained in the following manner: using multiple preset repeaters to receive the current signal uploaded by each wireless pressure sensor; wherein the current signal carries multiple pressure data of the pilot-operated valve collected by the wireless pressure sensor in the current time period; using multiple preset repeaters to amplify and / or modulate the current signal to obtain an enhanced signal; using a preset signal converter to extract the multiple pressure data of the pilot-operated valve collected in the current time period from the enhanced signal, and performing corresponding adjustment processing to obtain the corresponding multiple pressure data sequences of the current time period.

[0192] In some embodiments, the wireless pressure sensor may also have a built-in smart chip;

[0193] Correspondingly, after the wireless pressure sensor collects the pressure data of the corresponding pilot-operated tethered valve, when the device is implemented, it can also be used to: utilize the intelligent chip of the wireless pressure sensor to pre-detect and process the pressure data of the pilot-operated tethered valve to obtain the corresponding pre-detection result; based on the pre-detection result, when it is determined that an abnormal state exists, utilize the pressure sensor to generate an abnormal prompt about the corresponding pilot-operated tethered valve; wherein the abnormal prompt carries at least the position parameters of the local pipeline area of ​​the ash conveying pipeline to which the corresponding pilot-operated tethered valve belongs; utilize the pressure sensor to send the abnormal prompt to the operation and maintenance terminal through a preset wireless network structure.

[0194] In some embodiments, when the above-mentioned detection module 1104 is implemented, it can be obtained in the following manner and based on the curve characteristics of the pressure change curves of the current time period of multiple pilot-operated tethered valves, it can be detected whether there are abnormal pressure change curves in the pressure change curves of the current time period of multiple pilot-operated tethered valves: obtain the current operating parameters of the ash conveying system; wherein the operating parameters at least include: ash conveying frequency, ash conveying time, ash conveying air pressure; according to the current operating parameters of the ash conveying system, determine a matching target abnormal state case from a preset abnormal state case library; according to the target abnormal state case, extract the corresponding curve characteristics from the pressure change curve of the current time period of the pilot-operated tethered valve; according to the target abnormal state case and the curve characteristics, detect whether there are abnormal pressure change curves in the pressure change curves of the current time period of multiple pilot-operated tethered valves.

[0195] In some embodiments, when the fourth determination module 1107 is implemented, the abnormal state type and abnormal state position can be determined according to the abnormal pressure change curve and the associated pressure change curve in the following manner: detecting whether there is a curve area exceeding a preset proportion between the abnormal pressure change curve and the associated pressure change curve and located above a preset reference baseline; and whether the trend difference value of the curve change trend between the abnormal pressure change curve and the associated pressure change curve is less than a preset first trend difference value threshold; in determining whether there is a curve area exceeding a preset proportion between the abnormal pressure change curve and the associated pressure change curve and located above a preset reference baseline; and whether the trend difference value of the curve change trend between the abnormal pressure change curve and the associated pressure change curve is less than a preset first trend difference value threshold; When the outlier value is less than the preset first trend difference value threshold, the abnormal state type is determined to be blockage in the ash conveying pipeline; when the abnormal state type is determined to be blockage in the ash conveying pipeline, a preset number of multiple pilot valves continuously arranged on the ash conveying pipeline, including at least a target valve and an associated valve, are determined as relevant valves; an abnormal start valve and an abnormal end valve are determined from the multiple relevant valves based on the pressure change curve of the current time period of the relevant valves; and an abnormal state pipeline with blockage is determined on the ash conveying pipeline based on the position parameters of the local pipeline area of ​​the ash conveying pipeline to which the abnormal start valve belongs and the position parameters of the local pipeline area of ​​the ash conveying pipeline to which the abnormal end valve belongs.

[0196] In some embodiments, when the fourth determination module 1107 is implemented, the abnormal state type and abnormal state position can also be determined according to the abnormal pressure change curve and the associated pressure change curve in the following manner: detect whether the trend difference value of the curve change trend of the abnormal pressure change curve and the associated pressure change curve is greater than or equal to a preset second trend difference value threshold; when it is determined that the trend difference value of the curve change trend of the abnormal pressure change curve and the associated pressure change curve is greater than or equal to the preset second trend difference value threshold, determine that the abnormal state type is a pilot-operated valve failure; determine the pilot-operated valve corresponding to the abnormal pressure change curve as a faulty valve.

[0197] It should be noted that the units, devices or modules described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. For the convenience of description, the above devices are described separately by functions divided into various modules. Of course, when implementing this specification, the functions of each module can be implemented in the same or more software and / or hardware, or the modules that implement the same function can be implemented by a combination of multiple sub-modules or sub-units. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0198] It can be seen from the above that the abnormal state detection device of the ash conveying system of a thermal power plant provided based on the embodiment of this specification can be well adapted to the operation and maintenance scenarios of the ash conveying system of a thermal power plant with large-scale pipelines and complex conditions. It can efficiently and accurately intelligently detect and identify the abnormal state of the ash conveying system, as well as the specific abnormal state type and abnormal state location, effectively reducing the workload of the operation and maintenance personnel and ensuring the safe operation of the ash conveying system.

[0199] In a specific scenario example, the abnormal state detection method of the ash conveying system of a thermal power station provided in this specification can be applied to realize the pilot type ash conveying intelligent state monitoring and diagnosis. The specific implementation process can refer to the following content.

[0200] In this scenario example, due to technical limitations, problems such as pipe blockage and gas leakage often occur during long-distance transportation, which seriously affects the stability of the transportation system. In addition, the shortage of coal resources has led to a decline in the quality of coal used in power plants, and the proportion of fly ash produced after combustion has increased, further bringing instability to the transportation effect of the ash conveying system. On the one hand, given that fly ash needs to be transported over long distances, it will be extremely energy-consuming and inefficient if it only relies on high-pressure gas filled at the fly ash discharge point to blow it to the ash storage several kilometers away. Therefore, the pilot-operated automatic bolt valve is applied to the ash conveying system to improve efficiency and reduce costs.

[0201] On the other hand, when faced with pipe blockage, gas leakage and other faults, front-line workers need to check the pressure gauge installed on the pipeline to determine whether the pipe is blocked, or rely on experience to determine whether the gas is leaking. Traditional purely mechanical operation methods are difficult to achieve new breakthroughs, which greatly affects the efficiency of ash removal. Due to the complex nature of fly ash particles, the easy wear and blockage of the transportation pipeline, and the limitations of manual monitoring methods, this field has long faced problems such as low system operation efficiency, severe equipment wear and high operation and maintenance costs.

[0202] In response to the above-mentioned problems and the root causes of the above-mentioned problems, the applicant, through creative work, considered adding auxiliary blowing technology to the ash conveying system of thermal power plants (for example, thermal power stations) and designed a micro-power wireless pressure sensor widely used in power plants. It also developed an intelligent status monitoring and platform for the ash conveying system (corresponding to the cloud server) to collect and analyze the status of each pilot valve in real time, realize the scheduled transmission of normal data and the instant transmission of abnormal data, accurately analyze the specific location of the faulty valve and the location of ash accumulation in the pipeline, and issue an alarm to promote the development of smart power plants.

[0203] Specifically, in this scenario example, a pilot ash conveying intelligent state monitoring and diagnosis system for fly ash transportation is proposed. By installing multiple pilot automatic plug valves on the ash conveying pipeline, it not only meets the requirements of energy saving, long-distance transportation, low wear, and flexible layout, but also achieves a better clearing effect. The system is equipped with micro-power wireless pressure sensors (e.g., wireless pressure sensors), wireless repeaters (e.g., preset repeaters), wireless signal converters (e.g., preset signal converters) and display terminals (i.e., microcomputers) hardware devices, and constructs an intelligent state monitoring and diagnosis platform for ash conveying systems based on wireless sensing and transmission technology (corresponding to ash conveying systems). Through intelligent pressure sensing and wireless transmission technology, the platform can collect and analyze the data of each pilot automatic plug valve in real time, check the number of times the ash conveying system is running, accurately locate the faulty valve and pipeline ash blockage position, and provide an alarm function to remind technical personnel (e.g., operation and maintenance personnel) to deal with it in time. This not only improves work efficiency and practicality, but also promotes the rapid development of smart power plants.

[0204] A pilot ash conveying intelligent status monitoring and diagnosis system comprises: a pilot automatic tethering valve, a wireless transmission device, and an intelligent monitoring and early warning platform for the pilot ash conveying system. The pilot automatic tethering valve is provided with a pressure sensor, and the pressure sensor, a repeater and a signal converter together form a wireless transmission device. The wireless transmission device uploads the collected pressure signal to the pilot ash conveying system intelligent monitoring and early warning platform. The pilot ash conveying system intelligent monitoring and early warning platform processes the collected pressure data, can check the operating status and operating times of the ash conveying system, accurately locate the faulty valve and the ash blockage position of the pipeline, and provide an alarm function.

[0205] In this scenario example, the pressure sensor has a built-in micro-power acquisition and signal transceiver module (for example, a signal transceiver unit), a micro-power AI computing chip, and a self-powered micro-power design, and can have a service life of more than five years.

[0206] In this scenario example, the pressure sensor can use wireless mesh self-organizing network technology, and the pressure sensors arranged within 1km can automatically form a chain wireless network to upload data to the repeater.

[0207] In this scenario example, the pressure sensor has a built-in micro-power AI computing chip with edge computing capabilities. The pressure sensor can process the data monitored in real time. The pressure sensor can determine whether the pilot valve is faulty, the location of pipeline blockage, etc. through the pressure data of adjacent sensors and transmit the results to the intelligent monitoring and early warning platform.

[0208] In this scenario example, the pressure sensor and the pilot-operated automatic bolting valve can be connected by threads. The pressure sensor is installed at the original pressure gauge position without additional processing on the pilot-operated automatic bolting valve, and the function of the pilot-operated automatic bolting valve is not changed.

[0209] In this scenario example, the repeater supports short-range wireless collection and transmission of signals from various wireless sensors and forms a chain-like wireless network with other repeaters and finally transmits them to the signal converter.

[0210] In this scenario example, the repeater can manage no less than 1,000 sensor nodes and simultaneously perform large-scale, decentralized device group status monitoring.

[0211] In this scenario example, the wireless repeater is powered outdoors by connecting to a solar panel to adopt solar charging, and the repeater is powered indoors by a DC12V power supply.

[0212] In this scenario example, the large wireless chain network composed of the signal converters and repeaters can perform large-scale, decentralized equipment group operation status monitoring without being limited by the number of sensors.

[0213] In this scenario example, the sensors, repeaters and signal converters all use LoRa wireless communication technology in consideration of transmission distance and anti-interference factors, and have rainproof, sunproof, dustproof, antifreeze (-35°C), high temperature resistant (80°C) and shockproof functions.

[0214] In this scenario example, the pilot ash conveying system intelligent monitoring and early warning platform establishes a three-dimensional model of the ash conveying pipeline, the accompanying gas pipeline, and the pilot automatic valve, and displays real-time data of the operating status.

[0215] In this scenario example, the basis for the pilot ash conveying system intelligent monitoring and early warning platform to determine whether the ash conveying system has a fault is to comprehensively consider whether the pilot valve pressure change curve conforms to the change characteristics of the historical database, whether the time interval between each pressure change conforms to the ash conveying frequency of the day, and whether the ash conveying pilot valve pressure value remains unchanged for a long time, is 0 KPa for a long time, or is at a high value for a long time.

[0216] In this scenario example, the intelligent monitoring and early warning platform for the pilot ash conveying system, the pressure curve changes also match the time and frequency of each ash conveying of the pilot ash conveying system, and the pressure curves of the ash conveying pilot valves at different positions also conform to the working characteristics of the ash conveying pilot valves at the corresponding installation positions.

[0217] In this scenario example, the pilot ash conveying system intelligent monitoring and early warning platform, the multiple groups of data uploaded by the pressure sensor are compared with the multiple groups of data uploaded by 2 or more nearby pressure sensors. If the pressure values ​​of the multiple groups of data uploaded by the pressure sensor and the multiple groups of data uploaded by 2 or more nearby pressure sensors are larger and the change trends are similar, it is believed that there is a blockage in this section of the pipeline. If the change trends of the multiple groups of data uploaded by the pressure sensor and the multiple groups of data uploaded by 2 or more nearby pressure sensors are very different, it is believed that the pilot automatic plug valve corresponding to the pressure sensor is faulty.

[0218] In this scenario example, the pilot ash conveying system intelligent monitoring and early warning platform displays relevant data and abnormal conditions in real time through an alarm dashboard. The pilot ash conveying system intelligent monitoring and early warning platform has a rich fault case library (for example, a preset abnormal state case library) and supports automatic generation of equipment failure cases.

[0219] Through the above scenario examples, it is verified that the abnormal state detection method of the ash conveying system of a thermal power plant provided in this specification can indeed be well adapted to the operation and maintenance scenarios of the ash conveying system of a thermal power plant with large pipeline scale and complex conditions. It can efficiently and accurately intelligently detect and identify the abnormal state of the ash conveying system, as well as the specific abnormal state type and abnormal state location, effectively reducing the workload of the operation and maintenance personnel and ensuring the safe operation of the ash conveying system.

[0220] Although the present specification provides method operation steps as described in the embodiments or flow charts, more or less operation steps may be included based on conventional or non-creative means. The order of steps listed in the embodiments is only one way of executing the order of many steps, and does not represent a unique execution order. When the device or client product in practice is executed, it can be executed in sequence or in parallel according to the method shown in the embodiments or the drawings (for example, a parallel processor or a multi-threaded processing environment, or even a distributed data processing environment). The term "include", "include" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, product or device including a series of elements includes not only those elements, but also includes other elements that are not explicitly listed, or also includes elements inherent to such a process, method, product or device. In the absence of more restrictions, it is not excluded that there are other identical or equivalent elements in the process, method, product or device including the elements. The first, second, etc. words are used to represent the name, and do not represent any particular order.

[0221] Those skilled in the art also know that, in addition to implementing the controller in a purely computer-readable program code, the controller can be made to implement the same function in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, such a controller can be considered as a hardware component, and the devices for implementing various functions included therein can also be considered as structures within the hardware component. Or even, the devices for implementing various functions can be considered as both software modules for implementing the method and structures within the hardware component.

[0222] This specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform specific tasks or implement specific abstract data types. This specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer-readable storage media including storage devices.

[0223] Through the description of the above embodiments, it can be known that those skilled in the art can clearly understand that the present specification can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present specification can essentially be embodied in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a mobile terminal, a server, or a network device, etc.) to execute the methods described in each embodiment of the present specification or some parts of the embodiments.

[0224] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. This specification can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc.

[0225] Although the present specification is described through embodiments, those skilled in the art will appreciate that there are many modifications and changes to the present specification without departing from the spirit of the present specification, and it is intended that the appended claims include these modifications and changes without departing from the spirit of the present specification.

Claims

1. A method for detecting abnormal state of an ash conveying system of a thermal power station, characterized in that: The invention is applied to a cloud server, wherein the cloud server is connected to an ash conveying system of a thermal power station, wherein the ash conveying system at least comprises: an ash conveying pipeline and a gas pipeline; a plurality of pilot-operated tethered valves are correspondingly arranged at a plurality of preset positions of the ash conveying pipeline, the pilot-operated tethered valves are also connected to the gas pipeline, and the pilot-operated tethered valves are also provided with corresponding wireless pressure sensors; the wireless pressure sensors are connected to the cloud server via a preset wireless network structure, and the method comprises: Obtaining pressure data sequences of multiple current time periods collected by multiple wireless pressure sensors through a preset wireless network structure; According to the pressure data sequences of multiple current time periods, the ash conveying system model of the previous time period is updated to obtain the ash conveying system model of the current time period; According to the ash conveying system model of the current time period, the pressure variation curves of the multiple pilot-operated valves in the current time period are determined; Acquire and detect whether there is an abnormal pressure change curve in the pressure change curves of the multiple pilot-operated tethered valves in the current time period according to the curve characteristics of the pressure change curves of the multiple pilot-operated tethered valves in the current time period; In the case of determining that there is an abnormal pressure change curve, determining that the ash conveying system is currently in an abnormal state; and determining the pilot-operated tethered valve corresponding to the abnormal pressure change curve as the target tethered valve; Determine a plurality of pilot-operated tethered valves adjacent to the target tethered valve as associated tethered valves; and obtain a pressure variation curve of the associated tethered valve in a current time period as an associated pressure variation curve; According to the abnormal pressure change curve and the associated pressure change curve, the abnormal state type and the abnormal state position are determined.

2. The method according to claim 1, characterized in that: The abnormal state type includes at least one of the following: failure of the pilot automatic valve, blockage of the ash conveying pipeline, and leakage of the ash conveying pipeline.

3. The method according to claim 1, characterized in that After determining the abnormal state type and the abnormal state position according to the abnormal pressure change curve and the associated pressure change curve, the method further includes: Combine the abnormal state type and the abnormal state position to obtain abnormal state combination information; According to the abnormal state combination information, query the preset exception handling strategy set to determine the matching target exception handling strategy; According to the target abnormality handling strategy, the ash conveying system is subjected to corresponding abnormal state elimination processing.

4. The method according to claim 1, characterized in that The preset wireless network structure includes a preset signal converter and multiple preset repeaters; wherein the multiple preset repeaters are respectively connected to the corresponding wireless pressure sensors, the multiple preset repeaters are connected to the preset signal converter, and the preset signal converter is connected to the cloud server.

5. The method according to claim 4, characterized in that Obtain pressure data sequences of multiple current time periods collected by multiple wireless pressure sensors, including: Using multiple preset repeaters to receive the current signal uploaded by each wireless pressure sensor; wherein the current signal carries multiple pressure data of the pilot-operated valve collected by the wireless pressure sensor in the current time period; Using multiple preset repeaters to perform signal amplification and / or signal modulation processing on the current signal to obtain an enhanced signal; A preset signal converter is used to extract multiple pressure data of the pilot-operated valve collected in the current time period from the enhanced signal, and corresponding adjustment processing is performed to obtain corresponding pressure data sequences of multiple current time periods.

6. The method according to claim 1, characterized in that The wireless pressure sensor is also equipped with a built-in smart chip; Correspondingly, after the wireless pressure sensor collects the pressure data of the corresponding pilot-operated valve, the method further includes: The intelligent chip of the wireless pressure sensor is used to pre-detect and process the pressure data of the pilot-operated valve to obtain the corresponding pre-detection results; According to the pre-detection result, when it is determined that an abnormal state exists, the pressure sensor is used to generate an abnormal prompt about the corresponding pilot-operated valve; wherein the abnormal prompt carries at least the position parameter of the local pipeline area of ​​the ash conveying pipeline to which the corresponding pilot-operated valve belongs; The pressure sensor is used to send the abnormal prompt to the operation and maintenance terminal through a preset wireless network structure.

7. The method according to claim 1, characterized in that Acquiring and detecting whether there is an abnormal pressure change curve in the pressure change curves of the current time period of the multiple pilot-operated tethered valves according to the curve characteristics of the pressure change curves of the current time period of the multiple pilot-operated tethered valves, including: Obtaining the current operating parameters of the ash conveying system; wherein the operating parameters at least include: ash conveying frequency, ash conveying time, and ash conveying air pressure; According to the current operating parameters of the ash conveying system, a matching target abnormal state case is determined from a preset abnormal state case library; According to the target abnormal state case, the corresponding curve features are extracted from the pressure change curve of the pilot-operated valve in the current time period; According to the target abnormal state case and curve characteristics, it is detected whether there is an abnormal pressure change curve in the pressure change curves of the current time period of multiple pilot-operated valves.

8. The method according to claim 1, characterized in that According to the abnormal pressure change curve and the associated pressure change curve, the abnormal state type and abnormal state position are determined, including: Detect whether a curve area of ​​the abnormal pressure change curve and the associated pressure change curve that exceeds a preset ratio is located above a preset reference baseline; and whether a trend difference value of the curve change trends of the abnormal pressure change curve and the associated pressure change curve is less than a preset first trend difference value threshold; When it is determined that the abnormal pressure change curve and the associated pressure change curve have a curve area exceeding a preset ratio and located above a preset reference baseline; and the trend difference value of the curve change trend of the abnormal pressure change curve and the associated pressure change curve is less than a preset first trend difference value threshold, the abnormal state type is determined to be ash blockage in the ash conveying pipeline; When it is determined that the abnormal state type is ash blocking in the ash conveying pipeline, a preset number of pilot-operated tethered valves including at least a target tethered valve and an associated tethered valve and continuously arranged on the ash conveying pipeline are determined as associated tethered valves; Obtaining and determining an abnormal starting tethering valve and an abnormal ending tethering valve from a plurality of related tethering valves according to a pressure variation curve of the related tethering valves in a current time period; According to the position parameters of the local pipeline area of ​​the ash conveying pipeline to which the abnormal start valve belongs and the position parameters of the local pipeline area of ​​the ash conveying pipeline to which the abnormal end valve belongs, the abnormal state pipeline with ash blockage is determined on the ash conveying pipeline.

9. The method according to claim 1, characterized in that: According to the abnormal pressure change curve and the associated pressure change curve, the abnormal state type and the abnormal state position are determined, and the method further includes: Detect whether a trend difference value of a curve change trend between the abnormal pressure change curve and the associated pressure change curve is greater than or equal to a preset second trend difference value threshold; In the case where it is determined that the trend difference value of the curve change trend of the abnormal pressure change curve and the associated pressure change curve is greater than or equal to a preset second trend difference value threshold, the abnormal state type is determined to be a pilot-operated valve failure; The pilot operated valve corresponding to the abnormal pressure change curve is determined as the fault state valve.

10. An abnormal state detection device for an ash conveying system of a thermal power station, characterized in that: Applied to a cloud server, the cloud server is connected to an ash conveying system of a thermal power station, wherein the ash conveying system at least comprises: an ash conveying pipeline and a gas pipeline; a plurality of pilot-operated tethered valves are correspondingly arranged at a plurality of preset positions of the ash conveying pipeline, the pilot-operated tethered valves are also connected to the gas pipeline, and the pilot-operated tethered valves are also provided with corresponding wireless pressure sensors; the wireless pressure sensors are connected to the cloud server via a preset wireless network structure, and the device comprises: An acquisition module, used to acquire pressure data sequences of multiple current time periods collected by multiple wireless pressure sensors through a preset wireless network structure; An updating module, used for updating the ash conveying system model of the previous time period according to the pressure data sequences of the multiple current time periods, to obtain the ash conveying system model of the current time period; The first determination module is used to determine the pressure change curves of the multiple pilot-operated valves in the current time period according to the ash conveying system model in the current time period; A detection module, used to obtain and detect whether there is an abnormal pressure change curve in the pressure change curves of the current time period of the multiple pilot-operated tethered valves according to the curve characteristics of the pressure change curves of the current time period of the multiple pilot-operated tethered valves; The second determination module is used to determine that the ash conveying system is currently in an abnormal state when it is determined that there is an abnormal pressure change curve; and determine the pilot-operated tethered valve corresponding to the abnormal pressure change curve as the target tethered valve; The third determination module is used to determine a plurality of pilot-operated tethered valves adjacent to the target tethered valve as associated tethered valves; and obtain a pressure change curve of the associated tethered valve in a current time period as an associated pressure change curve; The fourth determination module is used to determine the abnormal state type and the abnormal state position according to the abnormal pressure change curve and the associated pressure change curve.

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