Boiler monitoring method and device, electronic equipment and storage medium

Abstract

The invention discloses a boiler monitoring method and device, electronic equipment and a storage medium. Boiler monitoring data of different monitoring points are obtained based on a preset sensor; whether the boiler monitoring data of different monitoring points are abnormal or not is judged through a preset threshold value; and sending the boiler monitoring data of the different monitoring points to a preset screen for display. Compared with the prior art, according to the embodiment of the invention, by arranging a plurality of monitoring points, collecting the boiler monitoring data and analyzing and comparing the boiler monitoring data, whether an abnormal condition exists in the boiler monitoring data or not can be determined, and the boiler monitoring data is displayed. By means of the automatic monitoring mode, tiny leakage or faults of the boiler can be detected, a judgment basis is provided for operators, planned shutdown overhaul is carried out, and unplanned shutdown of a unit is prevented.

Description

Technical Field

[0001] The present disclosure relates to the technical field of boilers, and in particular to a boiler monitoring method and device, electronic equipment and storage medium. Background Art

[0002] With the continuous growth of the global economy, energy demand continues to rise. As an important equipment for industrial production and energy conversion, the safe operation of boilers is crucial to ensuring energy supply.

[0003] In some industrial sites, especially old boiler rooms, there is a common problem of imperfect monitoring equipment, such as the lack of four-tube leakage detection devices and sufficient wall temperature measurement points. As a result, small leakage and overheating problems of the boiler during operation are difficult to be discovered in time. Boiler leakage and overheating may lead to serious safety accidents, which not only threatens personnel safety, but also may cause environmental pollution and property losses. Summary of the invention

[0004] The present disclosure provides a boiler monitoring method, device, electronic device and storage medium, which are mainly intended to solve the problem that small leakage and over-temperature problems of the boiler during operation are difficult to be discovered in time.

[0005] According to a first aspect of the present disclosure, a boiler monitoring method is provided, comprising:

[0006] Acquire boiler monitoring data of different monitoring points based on preset sensors; wherein different preset sensors correspond to different detection points;

[0007] Determine whether the boiler monitoring data at different monitoring points are abnormal by using a preset threshold;

[0008] The boiler monitoring data of the different monitoring points are sent to a preset screen for display; wherein, in the preset screen, the boiler monitoring data with abnormalities is highlighted with a preset mark.

[0009] Optionally, the step of acquiring boiler monitoring data of different monitoring points sent by the sensor system further includes:

[0010] Based on the preset sensors, boiler temperature data and sound wave data at different detection points are obtained.

[0011] Optionally, judging whether the boiler monitoring data at different monitoring points is abnormal by using a preset threshold value includes:

[0012] Determine whether the boiler temperature data at different detection points is abnormal by using a preset temperature threshold;

[0013] The preset sound wave threshold is used to determine whether the sound wave data at different detection points are abnormal.

[0014] Optionally, sending the boiler monitoring data of the different monitoring points to a preset screen for display includes:

[0015] The monitoring points and the boiler temperature data and / or sound wave data corresponding to the monitoring points are displayed in the preset screen.

[0016] Optionally, after determining whether the boiler monitoring data at different monitoring points are abnormal by using a preset threshold, the method further includes:

[0017] After determining that abnormal data exists in the boiler monitoring data, an alarm message is generated and pushed according to the alarm message; wherein the alarm message includes the abnormal location and the abnormal type.

[0018] According to a second aspect of the present disclosure, there is provided a boiler monitoring device, comprising:

[0019] An acquisition unit, used for acquiring boiler monitoring data of different monitoring points based on preset sensors; wherein different preset sensors correspond to different detection points;

[0020] A judgment unit, used to judge whether the boiler monitoring data at different monitoring points are abnormal through a preset threshold;

[0021] A display unit is used to send the boiler monitoring data of the different monitoring points to a preset screen for display; wherein, in the preset screen, the boiler monitoring data with abnormalities is highlighted by a preset mark.

[0022] Optionally, the acquisition unit is further used for:

[0023] Based on the preset sensors, boiler temperature data and sound wave data at different detection points are obtained.

[0024] Optionally, the judging unit includes:

[0025] A first judgment module, used to judge whether the boiler temperature data at different detection points are abnormal according to a preset temperature threshold;

[0026] The second judgment module is used to judge whether the sound wave data of different detection points are abnormal through a preset sound wave threshold.

[0027] Optionally, the display unit is also used for:

[0028] The monitoring points and the boiler temperature data and / or sound wave data corresponding to the monitoring points are displayed in the preset screen.

[0029] Optionally, the device further comprises:

[0030] A push unit is used to generate an alarm message and push the message according to the alarm message after the judgment unit judges whether the boiler monitoring data at different monitoring points has an abnormality through a preset threshold value and after determining that there is abnormal data in the boiler monitoring data; wherein the alarm message includes the abnormal location and the abnormal type.

[0031] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0032] at least one processor; and

[0033] a memory communicatively connected to the at least one processor; wherein,

[0034] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0035] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0036] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0037] The boiler monitoring method, device, electronic device and storage medium provided by the present disclosure have the following main technical solutions: obtaining boiler monitoring data of different monitoring points based on preset sensors; wherein different preset sensors correspond to different detection points; judging whether the boiler monitoring data of different monitoring points have abnormalities by preset thresholds; sending the boiler monitoring data of the different monitoring points to a preset screen for display; wherein the boiler monitoring data with abnormalities is highlighted by a preset mark in the preset screen. Compared with the related art, the embodiment of the present application arranges multiple monitoring points and collects boiler monitoring data, and by analyzing and comparing the boiler monitoring data, it can determine whether there are abnormalities in the boiler monitoring data, and display the boiler monitoring data. This automatic monitoring method can detect small leaks or failures of the boiler, provide judgment basis for operators, conduct planned shutdowns and maintenance, and prevent unplanned shutdowns of the unit.

[0038] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0040] Figure 1 A schematic flow chart of a boiler monitoring method provided by an embodiment of the present disclosure;

[0041] Figure 2 A schematic diagram of the structure of a boiler monitoring device provided in an embodiment of the present disclosure;

[0042] Figure 3 A schematic diagram of the structure of a boiler monitoring device provided in an embodiment of the present disclosure;

[0043] Figure 4 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0044] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0045] The following describes a boiler monitoring method, device, electronic device, and storage medium according to an embodiment of the present disclosure with reference to the accompanying drawings.

[0046] Figure 1 A schematic flow chart of a boiler monitoring method provided in an embodiment of the present disclosure.

[0047] like Figure 1 As shown, the method comprises the following steps:

[0048] Step 101, obtaining boiler monitoring data of different monitoring points based on preset sensors; wherein different preset sensors correspond to different detection points.

[0049] In some embodiments, before executing this step, a preset sensor is first arranged on the boiler. In actual applications, the type and model of the preset sensor can be determined according to the type and accuracy requirements of the boiler monitoring data. Specifically, the embodiments of the present application do not limit this.

[0050] When arranging the preset sensors, the preset sensors can be arranged at the welds of the boiler or at the weak points of the boiler to achieve better detection of the boiler. Specifically, the embodiments of the present application do not limit the arrangement positions of the preset sensors.

[0051] Step 102: determine whether there is any abnormality in the boiler monitoring data at different monitoring points by using a preset threshold.

[0052] In some embodiments, the preset thresholds may be set so that different monitoring points correspond to different preset thresholds, or may be set so that different boiler monitoring data types correspond to different preset thresholds. Specifically, the embodiments of the present application do not limit this.

[0053] In some embodiments, the value of the preset threshold can be set according to actual needs. For example, if the boiler accuracy requirement is high, the preset threshold can be set smaller; if the boiler accuracy requirement is low, the threshold can be set larger. Specifically, the embodiment of the present application does not limit the specific value of the preset threshold.

[0054] In some embodiments, when the value of the boiler monitoring data is greater than a preset threshold, it is determined that the boiler monitoring data is abnormal.

[0055] Step 103, sending the boiler monitoring data of the different monitoring points to a preset screen for display; wherein, in the preset screen, the boiler monitoring data with abnormalities is highlighted with a preset mark.

[0056] In some embodiments, the preset screen may be a screen in a monitoring station, or may be a mobile device such as a mobile phone, a tablet, a mobile computer, etc. Specifically, the preset screen may be set according to actual needs, and the embodiments of the present application do not limit this.

[0057] When displaying boiler monitoring data, the boiler monitoring data with abnormalities can be selectively displayed, or all the boiler monitoring data can be displayed, and the boiler monitoring data with abnormalities can be highlighted with preset marks. The preset marks include but are not limited to highlighted color display, flashing lights, sound alarms, display size, display area, etc. Specifically, the embodiments of the present application do not limit the types of preset marks.

[0058] By displaying the boiler monitoring data, operation and maintenance personnel can visually observe the operation of the boiler, and when there is abnormal data, conduct targeted inspection and maintenance on the parts of the boiler with abnormal data.

[0059] The boiler monitoring method provided by the present disclosure has the following main technical solutions: obtaining boiler monitoring data of different monitoring points based on preset sensors; wherein different preset sensors correspond to different detection points; judging whether the boiler monitoring data of different monitoring points have abnormalities by preset thresholds; sending the boiler monitoring data of the different monitoring points to a preset screen for display; wherein the boiler monitoring data with abnormalities is highlighted by a preset mark in the preset screen. Compared with the related art, the embodiment of the present application arranges multiple monitoring points and collects boiler monitoring data, and by analyzing and comparing the boiler monitoring data, it can determine whether there are abnormalities in the boiler monitoring data, and display the boiler monitoring data. This automatic monitoring method can detect small leaks or failures of the boiler, provide a basis for judgment for operators, conduct planned shutdowns and maintenance, and prevent unplanned shutdowns of the unit.

[0060] In some embodiments, the step of acquiring boiler monitoring data of different monitoring points sent by the sensor system further comprises:

[0061] Based on the preset sensors, boiler temperature data and sound wave data at different detection points are obtained.

[0062] In some embodiments, the acoustic wave data can be used to detect whether there is a leak in the boiler. At the same time, when there is a leak, the temperature will also increase abnormally. Therefore, the accuracy of boiler leakage detection can be improved by combining boiler temperature data and acoustic wave data.

[0063] In some embodiments, judging whether the boiler monitoring data at different monitoring points are abnormal by using a preset threshold value includes:

[0064] Determine whether the boiler temperature data at different detection points is abnormal by using a preset temperature threshold;

[0065] The preset sound wave threshold is used to determine whether the sound wave data at different detection points are abnormal.

[0066] In some embodiments, since the temperature of the boiler itself is relatively high during operation, when setting the temperature threshold, a reasonable temperature range can be set as the normal operating threshold based on the historical operation data of the boiler. For example, in the historical operation data, the average temperature of the boiler outside is 60°C, so the preset temperature threshold can be set to 70°C or 80°C. It should be noted that this description is only an exemplary description and is not a specific limitation on specific values.

[0067] If the temperature data is less than or equal to the preset threshold, the temperature data of the detection point is considered normal.

[0068] If the temperature data is greater than a preset threshold, it is considered that the temperature data of the detection point is abnormal.

[0069] In some embodiments, a reasonable sound wave threshold is set according to the sound wave characteristics of the boiler during normal operation. For example, if the sound wave intensity threshold during normal operation is 80 dB, the preset sound wave threshold can be set to 100 dB or 110 dB. It should be noted that this description is only an exemplary description and is not a specific limitation on specific values.

[0070] If the acoustic wave data is less than or equal to the preset threshold, the acoustic wave data of the detection point is considered normal.

[0071] If the acoustic wave data is greater than a preset threshold, it is considered that the acoustic wave data of the detection point is abnormal.

[0072] When abnormal sound waves or temperature are detected, an abnormal alarm can be issued to notify the operator to conduct a detailed inspection to determine whether the boiler has structural damage or other faults.

[0073] It can effectively monitor the operating status of the boiler and ensure production safety. At the same time, in order to improve the accuracy of judgment, the threshold can be dynamically adjusted and optimized by combining historical data and artificial intelligence algorithms.

[0074] In some embodiments, sending the boiler monitoring data of the different monitoring points to a preset screen for display includes:

[0075] The monitoring points and the boiler temperature data and / or sound wave data corresponding to the monitoring points are displayed in the preset screen.

[0076] The boiler temperature data and / or acoustic wave data corresponding to the monitoring points are displayed on the preset screen, so that the operator can intuitively understand the real-time operating status of the boiler, detect abnormalities in time and respond.

[0077] In some embodiments, the location of each monitoring point can be clearly identified on the interface so that operators can quickly locate problem areas. The number, location, current temperature and sound wave data of each monitoring point can be listed in a table, or data trends and distribution can be displayed in the form of charts such as line graphs, bar graphs or heat maps.

[0078] In some embodiments, indicator lights or color codes may also be used: indicator lights (such as green for normal, red for abnormal) or color codes may be used to visually indicate data status using, for example, flashing, color changing, or sound prompts.

[0079] In some embodiments, by clicking on an abnormal monitoring point, a detailed information window may pop up to display detailed data of the monitoring point and possible causes of the failure.

[0080] In some embodiments, after determining whether the boiler monitoring data at different monitoring points are abnormal by using a preset threshold, the method further includes:

[0081] After determining that abnormal data exists in the boiler monitoring data, an alarm message is generated and pushed according to the alarm message; wherein the alarm message includes the abnormal location and the abnormal type.

[0082] In some embodiments, the alarm information may include the following: abnormality location, which specific monitoring point or monitoring area has the abnormality; abnormality type, whether the abnormality is temperature abnormality or sound wave abnormality; abnormality degree, the severity of the abnormality, such as mild, moderate, or severe; abnormality time, the timestamp of the abnormality.

[0083] According to the operator's configuration and urgency, select one or more of the following push methods: pop-up window on the monitoring center screen; SMS notification: send alarm information to the specified mobile device via SMS; Email: send alarm email to the specified mailbox; Mobile application push: push notification via a dedicated mobile application; Sound alarm: play alarm sound in the monitoring center.

[0084] Corresponding to the above-mentioned boiler monitoring method, the present invention also provides a boiler monitoring device. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment, and will not be repeated in the present invention.

[0085] Figure 2 A schematic diagram of a boiler monitoring device provided in an embodiment of the present disclosure is shown in FIG. Figure 2 As shown, including:

[0086] An acquisition unit 21 is used to acquire boiler monitoring data of different monitoring points based on preset sensors; wherein different preset sensors correspond to different detection points;

[0087] A judgment unit 22, used to judge whether the boiler monitoring data at different monitoring points are abnormal through a preset threshold;

[0088] The display unit 23 is used to send the boiler monitoring data of the different monitoring points to a preset screen for display; wherein, in the preset screen, the boiler monitoring data with abnormalities is highlighted by a preset mark.

[0089] The boiler monitoring device provided by the present disclosure has the following main technical solutions: obtaining boiler monitoring data of different monitoring points based on preset sensors; wherein different preset sensors correspond to different detection points; judging whether the boiler monitoring data of different monitoring points have abnormalities by preset thresholds; sending the boiler monitoring data of the different monitoring points to a preset screen for display; wherein the boiler monitoring data with abnormalities is highlighted by a preset mark in the preset screen. Compared with the related art, the embodiment of the present application arranges multiple monitoring points and collects boiler monitoring data, and by analyzing and comparing the boiler monitoring data, it can determine whether there are abnormalities in the boiler monitoring data, and display the boiler monitoring data. This automatic monitoring method can detect small leaks or failures of the boiler, provide a basis for judgment for operators, conduct planned shutdowns and maintenance, and prevent unplanned shutdowns of the unit.

[0090] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 3 The acquisition unit 21 is further used for:

[0091] Based on the preset sensors, boiler temperature data and sound wave data at different detection points are obtained.

[0092] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 3 As shown, the judging unit 22 includes:

[0093] The first judgment module 221 is used to judge whether the boiler temperature data at different detection points are abnormal according to a preset temperature threshold;

[0094] The second judgment module 222 is used to judge whether the sound wave data of different detection points are abnormal by using a preset sound wave threshold.

[0095] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 3 As shown, the display unit 23 is also used for:

[0096] The monitoring points and the boiler temperature data and / or sound wave data corresponding to the monitoring points are displayed in the preset screen.

[0097] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 3 As shown, the device also includes:

[0098] The push unit 24 is used to generate an alarm message and push the message according to the alarm message after the judgment unit 22 judges whether the boiler monitoring data at different monitoring points has an abnormality through a preset threshold value and after determining that there is abnormal data in the boiler monitoring data; wherein the alarm message includes the abnormal location and the abnormal type.

[0099] It should be noted that the above explanation of the method embodiment is also applicable to the device of the embodiment of the present disclosure, and the principle is the same, which is no longer limited in the embodiment of the present disclosure.

[0100] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0101] Figure 4 A schematic block diagram of an example electronic device 300 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0102] like Figure 4 As shown, the device 300 includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 302 or a computer program loaded from a storage unit 308 to a RAM (Random Access Memory) 303. In the RAM 303, various programs and data required for the operation of the device 300 can also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An I / O (Input / Output) interface 305 is also connected to the bus 304.

[0103] A number of components in the device 300 are connected to the I / O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a disk, an optical disk, etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0104] The computing unit 301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as a boiler monitoring method. For example, in some embodiments, the boiler monitoring method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 300 via the ROM 302 and / or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to execute the aforementioned boiler monitoring method in any other appropriate manner (for example, by means of firmware).

[0105] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a special purpose or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0106] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0107] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an EPROM (Electrically Programmable Read-Only-Memory) or a flash memory, an optical fiber, a CD-ROM (Compact Dis sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0108] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0109] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0110] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0111] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0112] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0113] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A boiler monitoring method, characterized in that: include: Acquire boiler monitoring data of different monitoring points based on preset sensors; wherein different preset sensors correspond to different detection points; Determine whether the boiler monitoring data at different monitoring points are abnormal by using a preset threshold; The boiler monitoring data of the different monitoring points are sent to a preset screen for display; wherein, in the preset screen, the boiler monitoring data with abnormalities is highlighted with a preset mark.

2. The method according to claim 1, characterized in that The obtaining of boiler monitoring data of different monitoring points sent by the sensor system also includes: The boiler temperature data and the sound wave data of different detection points sent by the sensor system are obtained.

3. The solution according to claim 2, characterized in that: The determining whether the boiler monitoring data at different monitoring points are abnormal by using a preset threshold value includes: Determine whether the boiler temperature data at different detection points is abnormal by using a preset temperature threshold; The preset sound wave threshold is used to determine whether the sound wave data at different detection points are abnormal.

4. The method according to claim 3, characterized in that The sending the boiler monitoring data of the different monitoring points to a preset screen for display includes: The monitoring points and the boiler temperature data and / or sound wave data corresponding to the monitoring points are displayed in the preset screen.

5. The method according to claim 1, characterized in that After determining whether the boiler monitoring data at different monitoring points are abnormal by using a preset threshold, the method further includes: After determining that abnormal data exists in the boiler monitoring data, an alarm message is generated and pushed according to the alarm message; wherein the alarm message includes the abnormal location and the abnormal type.

6. A boiler monitoring device, characterized in that: include: An acquisition unit, used for acquiring boiler monitoring data of different monitoring points based on preset sensors; wherein different preset sensors correspond to different detection points; A judgment unit, used to judge whether the boiler monitoring data at different monitoring points are abnormal through a preset threshold; A display unit is used to send the boiler monitoring data of the different monitoring points to a preset screen for display; wherein, in the preset screen, the boiler monitoring data with abnormalities is highlighted by a preset mark.

7. The device according to claim 6, characterized in that The acquisition unit is also used for: Based on the preset sensors, boiler temperature data and sound wave data at different detection points are obtained.

8. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-5.

10. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 5.

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