Intelligent diagnosis method, system, equipment and medium for marine station observation equipment

Abstract

The present application discloses an intelligent diagnosis method, system, equipment and medium for marine site observation equipment, which relates to the field of marine observation. The method includes: obtaining an observation equipment resume; periodically determining a list to be inspected based on the routine information and calibration information of each marine site observation equipment in the observation equipment resume, and sending it to a remote management platform; after calibrating the marine site observation equipment, updating the calibration information of the corresponding marine site observation equipment in the observation equipment resume; judging whether each marine site observation equipment has a fault based on the monitoring data stream of each marine site observation equipment and the fault code information of each marine site observation equipment in the observation equipment resume; generating a fault report based on the routine information, fault code information and monitoring data stream of the marine site observation equipment that has a fault, and sending it to a remote management platform. The present application improves the automation level of calibration time and fault diagnosis of marine site observation equipment.

Description

Technical Field

[0001] The present application relates to the field of ocean observation, and in particular to an intelligent diagnosis method, system, equipment and medium for ocean site observation equipment. Background Art

[0002] Ocean observation is the basis for exploring and understanding the ocean, and is also the basis for developing and utilizing the ocean. Ocean observation technology includes on-site observation technology of ocean elements, on-site sampling technology of ocean elements, analysis technology of ocean element samples, construction technology of ocean observation platforms, and processing technology of ocean observation data.

[0003] Due to the particularity of the ocean, the ocean station observation system needs to be installed on the shore, port, island, sea, etc., which can be used to measure the water temperature, salinity, tide, wave, wind, air temperature, relative humidity, air pressure, precipitation and visibility of the sea area in a long-term, continuous and automatic manner. Among them, any kind of ocean observation needs to first consider solving the corresponding platform problem, so the platform construction technology plays an important role in ocean observation.

[0004] With the development of platform technology, various sensors are gradually applied to the hydrological and meteorological observation of ocean stations, replacing traditional manual observation methods, improving the automation and accuracy of the hydrological and meteorological observation system of ocean stations, and reducing the workload of manpower to a certain extent. However, the large-scale application of sensors also brings new problems. Sensors need maintenance to ensure normal use and periodic calibration to ensure observation accuracy. At present, ocean stations still use manual methods to count sensor information and check the working status of sensors. When sensors need periodic calibration, they need to manually check the sensor resume to confirm whether calibration is required, and then sort out the list of sensors to be inspected, which requires a lot of manpower and material resources. In addition, since most ocean stations are inconvenient for transportation, even located on isolated islands, and unattended all year round, when sensors are aging or abnormal, professionals are required to rush to the site to determine the cause of the fault through experience, and then prepare maintenance equipment according to the cause of the fault. Often, due to insufficient preparation of maintenance equipment, maintenance personnel have to go back and forth many times. For remote stations and isolated island stations, the fault recovery time is longer. Ultimately, due to untimely maintenance, the observation data is seriously missing. Summary of the invention

[0005] The purpose of this application is to provide an intelligent diagnosis method, system, equipment and medium for marine site observation equipment, which can improve the calibration time and fault diagnosis automation level of marine site observation equipment and improve the diagnostic efficiency of marine site observation equipment.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] In a first aspect, the present application provides an intelligent diagnosis method for marine site observation equipment, comprising:

[0008] Obtaining an observation equipment history table; the observation equipment history table includes general information, verification information and fault code information of observation equipment at each ocean station;

[0009] According to the routine information and verification information of the observation equipment at each ocean site in the observation equipment resume, a list to be inspected is periodically determined and sent to the remote management platform to prompt the staff to calibrate the observation equipment at the corresponding ocean site; the list to be inspected includes the routine information and verification information of the observation equipment at the ocean site that is temporarily to be inspected;

[0010] After the ocean site observation equipment is calibrated, updating the calibration information of the corresponding ocean site observation equipment in the observation equipment history table;

[0011] Obtain monitoring data streams from observation equipment at each ocean station in real time;

[0012] Determine whether the observation equipment at each ocean station fails according to the monitoring data stream of the observation equipment at each ocean station and the fault code information of the observation equipment at each ocean station in the observation equipment history table;

[0013] When any ocean site observation equipment fails, a fault report is generated based on the general information, fault code information and monitoring data stream of the failed ocean site observation equipment and sent to the remote management platform.

[0014] In a second aspect, the present application provides an intelligent diagnosis system for marine site observation equipment, comprising:

[0015] The data table acquisition module is used to obtain the observation equipment resume table; the observation equipment resume table includes the general information, verification information and fault code information of the observation equipment at each ocean station;

[0016] A verification list determination module is connected to the data table acquisition module, and is used to periodically determine the list to be inspected based on the routine information and verification information of each ocean station observation equipment in the observation equipment resume table, and send it to the remote management platform to prompt the staff to calibrate the corresponding ocean station observation equipment; the list to be inspected includes the routine information and verification information of the ocean station observation equipment that is temporarily to be inspected;

[0017] A verification update module, connected to the data table acquisition module, is used to update the verification information of the corresponding ocean site observation equipment in the observation equipment history table after the ocean site observation equipment is verified;

[0018] A monitoring data acquisition module is connected to the observation equipment at each ocean station to obtain the monitoring data stream of the observation equipment at each ocean station in real time;

[0019] A fault judgment module, connected to the data table acquisition module and the monitoring data acquisition module respectively, for judging whether the observation equipment at each ocean station has a fault according to the monitoring data stream of the observation equipment at each ocean station and the fault code information of the observation equipment at each ocean station in the observation equipment history table;

[0020] The fault report determination module is connected to the data table acquisition module and the fault judgment module respectively, and is used to generate a fault report based on the general information, fault code information and monitoring data stream of the faulty marine site observation equipment when a fault occurs at any marine site observation equipment, and send it to the remote management platform.

[0021] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned intelligent diagnosis method for ocean site observation equipment.

[0022] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned intelligent diagnosis method for ocean site observation equipment.

[0023] According to the specific embodiments provided by the present application, the present application discloses the following technical effects: The present application provides an intelligent diagnosis method, system, equipment and medium for marine site observation equipment, which stores the routine information, calibration information and fault code information of each marine site observation equipment through the observation equipment resume table. During the working process of the marine site observation equipment, the marine site observation equipment that is temporarily awaiting inspection is automatically counted and a list of inspections is generated. There is no need to manually go to the site to determine whether each marine site observation equipment needs to be calibrated, which reduces the workload of the staff. In addition, it can automatically determine in real time whether each marine site observation equipment has a fault. When a fault occurs, a fault report is automatically generated and sent to the remote management platform. The staff can accurately locate the fault according to the fault report, quickly prepare the required maintenance equipment, and save maintenance time. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0025] Figure 1 This is an application environment diagram of an intelligent diagnosis method for marine site observation equipment in one embodiment of the present application.

[0026] Figure 2A flowchart of an intelligent diagnosis method for ocean site observation equipment provided in one embodiment of the present application.

[0027] Figure 3 A schematic diagram of the storage process of data in an observation device history table provided in an embodiment of the present application.

[0028] Figure 4 A schematic diagram of a process for automatically generating a checklist according to an embodiment of the present application.

[0029] Figure 5 A schematic diagram of a fault diagnosis process in a serial communication mode provided in an embodiment of the present application.

[0030] Figure 6 A schematic diagram of a fault diagnosis process for a network port communication mode provided in an embodiment of the present application.

[0031] Figure 7 A schematic diagram of the functional modules of an intelligent diagnostic system for ocean site observation equipment provided in one embodiment of the present application.

[0032] Figure 8 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0034] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0035] The intelligent diagnosis method for marine site observation equipment provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, or it can be integrated on the server 104, or it can be placed on the cloud or other servers. The terminal 102 can send relevant information of the ocean site observation equipment to the server 104. After the server 104 receives the relevant information of the ocean site observation equipment, it performs intelligent diagnosis on each ocean site observation equipment. The server 104 can feedback the list to be inspected, the fault report, the general information of each ocean site observation equipment, the verification information and the fault code information to the terminal 102. In addition, in some embodiments, the intelligent diagnosis method of the ocean site observation equipment can also be implemented by the server 104 or the terminal 102 alone.

[0036] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0037] In an exemplary embodiment, Figure 2 As shown, a method for intelligent diagnosis of marine site observation equipment is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, the method for intelligent diagnosis of marine site observation equipment is a set of software, and the software includes multiple front-end interfaces, and users can interact through the front-end interfaces to apply the method to Figure 1 The server 104 in the example is used for explanation, and the steps include the following steps 201 to 206.

[0038] Step 201, obtaining an observation equipment history table, wherein the observation equipment history table includes general information, verification information and fault code information of observation equipment at each ocean station.

[0039] In this embodiment, the observation equipment resume table is a data table in the database, and a relational database is used to manage the observation equipment resume table. According to the characteristics of the marine station, the observation equipment resume table is divided into a conventional information table (storing conventional information), a verification information table (storing verification information) and a fault code table (storing fault code information), etc. The contents stored in the conventional information table, the verification information table and the fault code table are shown in Tables 1 to 3 respectively.

[0040] The marine site observation equipment is a sensor that monitors marine hydrology and meteorology. Each sensor in the marine site has its own history information in the software, that is, the sensors in use, the sensors in stock, and the scrapped sensors all have corresponding history information, and the history of all sensors together constitute the observation equipment history table. The site staff can query the history information of all sensors at the site through the software.

[0041] Furthermore, the present application can realize online dynamic addition, revision, and deletion of observation equipment history tables. After saving, the new observation equipment history table takes effect in real time, and the status of ocean station observation equipment can be intelligently monitored immediately according to the new observation equipment history table.

[0042] The general information includes the name, model, identification code, activation time, scrapping time, storage time, inventory location, installation location, manufacturer, whether it is activated, whether it is periodically calibrated, and whether it is scrapped, etc. of the ocean site observation equipment.

[0043] The calibration information includes the calibration information of all sensors in use. Specifically, the calibration information includes the name, model, identification code, current calibration time, next calibration time, storage time, inventory location and calibration agency information of the ocean site observation equipment. Among them, the calibration agency information includes the name of the calibration agency, the communication address of the calibration agency, the contact information of the calibration agency, etc. For inventory sensors, the calibration information includes the name, model, identification code, inventory time, inventory location, manufacturer, calibration cycle, communication address of the calibration agency, contact information of the calibration agency, etc.

[0044] The fault code information includes the name, model, identification code, fault code, fault threshold range, fault code definition, operation status code, operation status threshold range and operation status code definition of the marine station observation equipment. Among them, the fault threshold range includes the fault threshold lower limit and the fault threshold upper limit, and the operation status threshold range includes the operation status threshold lower limit and the operation status threshold upper limit.

[0045] Table 1 General information table

[0046]

[0047] Table 2 Verification Information Table

[0048]

[0049] Table 3 Fault code table

[0050]

[0051] This application can realize database management of information such as the activation time, calibration cycle, model, fault code, manufacturer, installation location, calibration agency communication address, and calibration agency contact information of sensors in use at marine sites; and realize database management of information such as the storage time, equipment model, inventory quantity, manufacturer, calibration cycle, inventory location, calibration agency communication address, and calibration agency contact information of inventory sensors.

[0052] like Figure 3 As shown in the figure, the storage process of data in the observation equipment history table is divided into four judgment conditions: judging whether a new sensor is added, judging whether periodic calibration is required, judging whether a sensor is in stock, and judging whether the sensor status needs to be monitored. Each judgment is executed in sequence. If a new sensor is added, the observation equipment history table needs to be filled in; if periodic calibration is required, the calibration information table needs to be filled in; if a sensor is in stock, the inventory information needs to be filled in; if the sensor status needs to be monitored, the fault code table needs to be filled in.

[0053] The management process of static information of ocean site observation equipment in this application is as follows: enter the sensor management interface---click on Add Sensor---fill in the general information of the sensor---if this type of sensor requires periodic calibration, fill in the calibration information---if the sensor is a stock sensor, fill in the stock location; if the sensor is an in-use sensor, fill in the installation location---fill in the sensor fault code information---after clicking Save, all sensor static information is stored in the database---the complete history information of the sensor can be queried and displayed according to the sensor name, model, serial number, etc.

[0054] Step 202: According to the routine information and verification information of each ocean site observation equipment in the observation equipment resume, a waiting list is periodically determined and sent to the remote management platform to prompt the staff to verify the corresponding ocean site observation equipment. The waiting list includes the routine information and verification information of the ocean site observation equipment that is temporarily waiting for inspection.

[0055] In an exemplary embodiment, in step 202, a list to be inspected is periodically determined based on the routine information and calibration information of each ocean site observation equipment in the observation equipment history table, specifically including: periodically obtaining the next calibration time of each ocean site observation equipment from the observation equipment history table. Based on the next calibration time of each ocean site observation equipment, determine the ocean site observation equipment that is temporarily awaiting inspection. Generate a list to be inspected based on the routine information and calibration information of the ocean site observation equipment that is temporarily awaiting inspection. Further, a warning message can be generated based on the list to be inspected to prompt the site staff to pay attention.

[0056] The intelligent diagnosis method for marine site observation equipment provided in this application can independently compile a list of sensors to be inspected in the near future. The on-duty staff only needs to follow the instructions on the list to quickly find the sensor installation point or warehouse location.

[0057] like Figure 4 As shown, start the timer to determine whether the periodic interruption is satisfied. If so, traverse the calibration information table, count the ocean site observation equipment that are awaiting inspection, generate an inspection list, and then determine whether there is someone on duty at the site. If there is no one on duty, use wired or wireless communication to send the inspection list to the remote management platform of the site supervisory unit. If there is someone on duty, the on-duty personnel can be reminded by flashing the page alarm indicator bar, or by flashing the page alarm indicator bar and giving a voice reminder.

[0058] Step 203, after the ocean site observation equipment is calibrated, the calibration information of the corresponding ocean site observation equipment in the observation equipment history table is updated.

[0059] Step 204, acquiring the monitoring data stream of the observation equipment at each ocean station in real time.

[0060] This application uses serial port communication mode or network port communication mode to communicate with the observation equipment at each ocean station and receive the monitoring data stream of the observation equipment at each ocean station.

[0061] Step 205, judging whether the observation equipment at each ocean station fails according to the monitoring data stream of the observation equipment at each ocean station and the fault code information of the observation equipment at each ocean station in the observation equipment history table.

[0062] In an exemplary embodiment, step 205 specifically includes: determining the monitoring data and operation data of each ocean site observation device according to the monitoring data stream of each ocean site observation device. For any ocean site observation device, if the monitoring data of the ocean site observation device is within the fault threshold range of the ocean site observation device, and the operation data of the ocean site observation device is within the operation state threshold range of the ocean site observation device, it is determined that the ocean site observation device has not failed, otherwise it is determined that the ocean site observation device has failed.

[0063] For example, the voltage value threshold range of a certain ocean site observation device is 11V~13V. If the voltage value of the operating data received from the ocean site observation device is lower than 11V or higher than 13V, fault information of the ocean site observation device is generated.

[0064] Step 206, when any ocean site observation device fails, a fault report is generated based on the general information, fault code information and monitoring data stream of the failed ocean site observation device, and sent to the remote management platform.

[0065] The intelligent diagnosis method for marine site observation equipment provided in this application can autonomously monitor the real-time monitoring data fed back by the sensor, locate sensor failure problems in real time, and generate a failure status report. The on-duty staff can quickly and accurately find the faulty sensor according to the report.

[0066] like Figure 5 As shown, when using the serial communication mode to communicate with each sensor, first open all the connected serial ports, start the monitoring thread, and monitor the monitoring data stream of each sensor. When receiving the data, preliminarily parse the data, confirm the sensor to which the data belongs, eliminate invalid data, parse the data according to the preset protocol, compare the fault code or fault threshold range, and determine whether a fault occurs. If a fault occurs, generate a fault report. If no fault occurs, store the sorted status data in the database. After generating the fault report, determine whether there is someone on duty at this site. If there is no one on duty, use wired or wireless communication to send the list to be inspected to the remote management platform of the site's supervisory unit. If there is someone on duty, the on-duty personnel can be reminded by flashing the page alarm indicator bar, or by flashing the page alarm indicator bar and giving a voice reminder.

[0067] like Figure 6 As shown, when the network port communication mode is used to communicate with the observation equipment of each ocean station, the network port is first opened, the listening thread is opened, and the connection of each sensor client is waited. The sensor sends a TCP / IP communication request to the listening thread, and the listening thread returns the handshake information. Then the communication thread is created to receive the monitoring data stream sent by the sensor. After receiving the monitoring data stream, the data is preliminarily parsed, the sensor to which the data belongs is confirmed, invalid data is eliminated, the data is parsed according to the preset protocol, and the fault code or fault threshold range is compared to determine whether a fault occurs. If a fault occurs, a fault report is generated. If no fault occurs, the sorted status data is stored in the database. After the fault report is generated, it is determined whether there is someone on duty at this site. If there is no one on duty, the list to be inspected is sent to the remote management platform of the site supervisory unit by wired or wireless communication. If there is someone on duty, the on-duty personnel can be reminded by flashing the page alarm indicator bar, or by flashing the page alarm indicator bar and voice reminder.

[0068] Furthermore, the intelligent diagnosis method for ocean site observation equipment also includes step 207 and step 208.

[0069] Step 207, real-time display of routine information, verification information and fault code information of observation equipment at each ocean station.

[0070] Step 208: When any ocean site observation equipment fails, an alarm is issued by means of indicator lights and / or voice.

[0071] This application uses a multi-threaded approach to synchronously manage static information such as sensor history and calibration, dynamic information such as sensor performance and fault status, regularly generate sensor status reports, and issue warning information in real time.

[0072] The management process of dynamic information of marine site observation equipment in this application is as follows: receiving the monitoring data stream of all online sensors (supporting wired and wireless network communication, serial port communication, etc.) --- completing the reception and landing of monitoring data (raw data) --- cutting and sorting the monitoring data --- storing the sorted data in the database (real-time database) --- synchronously comparing the sorted data with the fault code or fault threshold in the fault code information to determine whether there is a fault abnormality --- after confirming that a fault has occurred, synchronously generate a fault report, turn on the page alarm indicator bar to flash to remind the on-duty personnel to intervene (for unmanned sites, the fault report is reported by wire or wireless method as soon as the fault occurs)" --- the sensor status report can be generated manually or automatically periodically.

[0073] This application automatically monitors and manages all observation equipment at ocean sites, replacing the existing manual management methods, reducing the degree of human intervention, and reducing the reliance on professional maintenance personnel in the management and maintenance of site observation equipment. When the ocean site observation equipment is approaching the calibration cycle, it automatically counts the information of the equipment to be inspected, generates a list to be inspected, and issues prompt information to remind staff to intervene, thereby realizing the intelligent and programmed management of ocean site observation equipment and reducing the workload of duty personnel. When an ocean site observation equipment fails, the cause of the failure can be preliminarily determined based on the preset fault code list, a fault report can be generated, a warning message can be issued, and the fault report can be reported as soon as possible via wired or wireless means. Based on the fault report, the duty personnel or technicians can accurately locate the fault, quickly prepare the required maintenance equipment, save maintenance time, ensure the business operation of the ocean site, and provide more efficient services for disaster prevention and mitigation and navigation safety.

[0074] The present application also provides an application scenario, which applies the above-mentioned intelligent diagnosis method for ocean site observation equipment. Specifically: The intelligent diagnosis method for ocean site observation equipment provided in this embodiment can be applied in an ocean temperature monitoring scenario. The ocean temperature monitoring scenario includes a temperature sensor installation link and a temperature monitoring link; first, the temperature sensor is installed at the ocean site, and the general information, calibration information and fault code information of the temperature sensor are stored in the observation equipment history table provided in this application. Then, in the temperature monitoring link, the intelligent diagnosis method for ocean site observation equipment provided in this embodiment is used to judge the calibration time and fault status of the temperature sensor in real time online, and promptly prompt the staff to calibrate or repair the temperature sensor.

[0075] Based on the same inventive concept, the embodiment of the present application also provides an intelligent diagnosis system for ocean site observation equipment for implementing the intelligent diagnosis method for ocean site observation equipment involved above. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the intelligent diagnosis system for ocean site observation equipment provided below can refer to the limitations of the intelligent diagnosis method for ocean site observation equipment above, and will not be repeated here.

[0076] In an exemplary embodiment, Figure 7 As shown, an intelligent diagnosis system for marine site observation equipment is provided, including: a data table acquisition module 701, a calibration list determination module 702, a calibration update module 703, a monitoring data acquisition module 704, a fault judgment module 705 and a fault report determination module 706.

[0077] The data table acquisition module 701 is used to acquire the observation equipment history table, which includes the general information, verification information and fault code information of the observation equipment at each ocean station.

[0078] The verification list determination module 702 is connected to the data table acquisition module 701. The verification list determination module 702 is used to periodically determine the list to be inspected based on the general information and verification information of each ocean station observation equipment in the observation equipment resume, and send it to the remote management platform to prompt the staff to calibrate the corresponding ocean station observation equipment. The list to be inspected includes the general information and verification information of the ocean station observation equipment that is temporarily waiting for inspection.

[0079] The verification update module 703 is connected to the data table acquisition module 701, and is used to update the verification information of the corresponding ocean site observation equipment in the observation equipment history table after the ocean site observation equipment is verified.

[0080] The monitoring data acquisition module 704 is connected to each ocean site observation device 707, and the monitoring data acquisition module 704 is used to acquire the monitoring data stream of each ocean site observation device in real time.

[0081] In an exemplary embodiment, the monitoring data acquisition module 704 is connected to each ocean site observation device 707 using a serial port communication mode or a network port communication mode.

[0082] The fault judgment module 705 is connected to the data table acquisition module 701 and the monitoring data acquisition module 704 respectively. The fault judgment module 705 is used to judge whether the observation equipment of each ocean station has a fault according to the monitoring data stream of the observation equipment of each ocean station and the fault code information of the observation equipment of each ocean station in the observation equipment history table.

[0083] The fault report determination module 706 is connected to the data table acquisition module 701 and the fault judgment module 705 respectively. The fault report determination module 706 is used to generate a fault report based on the general information, fault code information and monitoring data stream of the faulty ocean site observation equipment when a fault occurs in any ocean site observation equipment, and send it to the remote management platform.

[0084] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 8 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store relevant information of the ocean site observation equipment. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an intelligent diagnosis method for ocean site observation equipment is implemented.

[0085] Those skilled in the art will understand that Figure 8The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0086] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0087] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0088] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0089] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0090] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0091] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0092] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. An intelligent diagnosis method for marine station observation equipment, characterized in that: The intelligent diagnosis method for ocean site observation equipment comprises: Obtaining an observation equipment history table; the observation equipment history table includes general information, verification information and fault code information of observation equipment at each ocean station; According to the routine information and verification information of the observation equipment at each ocean site in the observation equipment resume, a list to be inspected is periodically determined and sent to the remote management platform to prompt the staff to calibrate the observation equipment at the corresponding ocean site; the list to be inspected includes the routine information and verification information of the observation equipment at the ocean site that is temporarily to be inspected; After the ocean site observation equipment is calibrated, updating the calibration information of the corresponding ocean site observation equipment in the observation equipment history table; Obtain monitoring data streams from observation equipment at each ocean station in real time; Determine whether the observation equipment at each ocean station fails according to the monitoring data stream of the observation equipment at each ocean station and the fault code information of the observation equipment at each ocean station in the observation equipment history table; When any ocean site observation equipment fails, a fault report is generated based on the general information, fault code information and monitoring data stream of the failed ocean site observation equipment and sent to the remote management platform.

2. The intelligent diagnosis method for marine station observation equipment according to claim 1 is characterized in that: The conventional information includes the name, model, identification code, activation time, decommissioning time, storage time, storage location, installation location, manufacturer, whether it is activated, whether it is periodically calibrated, and whether it is decommissioned; The verification information includes the name, model, identification code, current verification time, next verification time, storage time, inventory location and verification agency information of the ocean station observation equipment; The fault code information includes the name, model, identification code, fault code, fault threshold range, fault code definition, operating status code, operating status threshold range and operating status code definition of the ocean site observation equipment.

3. The intelligent diagnosis method for marine station observation equipment according to claim 2 is characterized in that: According to the routine information and verification information of the observation equipment at each ocean station in the observation equipment resume, a list to be inspected is periodically determined, specifically including: Periodically obtaining the next calibration time of each ocean station observation equipment from the observation equipment history table; Determine the ocean station observation equipment to be inspected temporarily according to the next inspection time of each ocean station observation equipment; Generate a list of equipment to be inspected based on the routine information and calibration information of the ocean station observation equipment that is awaiting inspection.

4. The intelligent diagnosis method for marine station observation equipment according to claim 2, characterized in that: According to the monitoring data stream of the observation equipment at each ocean station and the fault code information of the observation equipment at each ocean station in the observation equipment history table, it is judged whether the observation equipment at each ocean station fails, specifically including: According to the monitoring data stream of the observation equipment at each ocean station, determine the monitoring data and operation data of the observation equipment at each ocean station; For any ocean site observation device, if the monitoring data of the ocean site observation device is within the fault threshold range of the ocean site observation device, and the operating data of the ocean site observation device is within the operating status threshold range of the ocean site observation device, it is determined that the ocean site observation device has not failed; otherwise, it is determined that the ocean site observation device has failed.

5. The intelligent diagnosis method for marine station observation equipment according to claim 1, characterized in that: The intelligent diagnosis method for ocean site observation equipment also includes: Real-time display of routine information, calibration information and fault code information of observation equipment at each ocean station.

6. The intelligent diagnosis method for marine station observation equipment according to claim 1, characterized in that: The intelligent diagnosis method for ocean site observation equipment also includes: When a failure occurs in any of the observation equipment at any ocean site, an alarm is given by indicator lights and / or voice.

7. An intelligent diagnosis system for marine station observation equipment, characterized in that: The intelligent diagnosis system for ocean site observation equipment includes: The data table acquisition module is used to obtain the observation equipment resume table; the observation equipment resume table includes the general information, verification information and fault code information of the observation equipment at each ocean station; A verification list determination module is connected to the data table acquisition module, and is used to periodically determine the list to be inspected based on the routine information and verification information of each ocean station observation equipment in the observation equipment resume table, and send it to the remote management platform to prompt the staff to calibrate the corresponding ocean station observation equipment; the list to be inspected includes the routine information and verification information of the ocean station observation equipment that is temporarily to be inspected; A verification update module, connected to the data table acquisition module, is used to update the verification information of the corresponding ocean site observation equipment in the observation equipment history table after the ocean site observation equipment is verified; A monitoring data acquisition module is connected to the observation equipment at each ocean station to obtain the monitoring data stream of the observation equipment at each ocean station in real time; A fault judgment module, connected to the data table acquisition module and the monitoring data acquisition module respectively, for judging whether the observation equipment at each ocean station has a fault according to the monitoring data stream of the observation equipment at each ocean station and the fault code information of the observation equipment at each ocean station in the observation equipment history table; The fault report determination module is connected to the data table acquisition module and the fault judgment module respectively, and is used to generate a fault report based on the general information, fault code information and monitoring data stream of the faulty marine site observation equipment when a fault occurs at any marine site observation equipment, and send it to the remote management platform.

8. The intelligent diagnosis system for marine station observation equipment according to claim 7 is characterized in that: The monitoring data acquisition module is connected to the observation equipment at each ocean site by using a serial communication mode or a network communication mode.

9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the intelligent diagnosis method for ocean station observation equipment according to any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the intelligent diagnosis method for ocean site observation equipment described in any one of claims 1 to 6 is implemented.

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