Intelligent inspection method and device for online chemical instrument

Abstract

The invention relates to an intelligent inspection method for an on-line chemical instrument, which comprises the following steps of: combining an intelligent on-line chemical instrument inspection device with a static structure with an inspection service delivery dynamic process taking a flow as a main line, and determining an inspection service model aiming at individual requirements of an on-line chemical instrument customer, the inspection service model is used for performing process modeling on the intelligent inspection service; determining a type of specific inspection service with personalized requirements, adding description of information transmission and a complex logic relationship between service processes, and performing the specific inspection service; based on the fact that intelligent inspection of a current online chemical instrument is determined to be a specific inspection service in a class of specific inspection services, a hierarchical timing coloring Petri network is developed and applied, one or more response characteristics of the inspection services are modeled and optimized, the specific inspection service is implemented based on the response characteristics of the inspection services, and the intelligent inspection of the current online chemical instrument is determined to be the specific inspection service in the class of specific inspection services. The invention further discloses a corresponding system and device, electronic equipment and a computer readable storage medium.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent inspection and maintenance of instruments and meters, and in particular to an intelligent inspection method and device for online chemical instruments. Background Art

[0002] In recent years, the power industry has been constantly innovating, the capacity of generator sets has been continuously increasing, and the requirements for unit operation indicators have become increasingly higher. As an important product for water quality monitoring in power plants, online chemical instruments are responsible for preventing corrosion, salt accumulation and scaling of thermal equipment, and have an indispensable position in power plants. However, how to ensure the accuracy of online chemical instruments to guide production and enable safe and economical operation of generator sets has always been a topic of constant discussion in the industry, especially dynamic inspection and random problem judgment, which are highly related to the intelligence level of online chemical instruments. In addition, daily inspection and maintenance have very high requirements for personnel quality, skill level and labor costs. Therefore, there is a more urgent need to abandon manual inspection methods and improve the intelligence of online chemical instruments.

[0003] Therefore, an intelligent inspection device and method for online chemical instruments is needed to solve the problems of high manpower cost of operation and maintenance of online chemical instruments, inaccurate and untimely fault judgment, unprofessional and inadequate maintenance processing methods, and low inspection pass rate. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent inspection method and device for online chemical instruments, which are used to provide intelligent online chemical instrument inspection. First, the intelligent online chemical instrument inspection device with a static structure is combined with the dynamic process of inspection service delivery with the process as the main line, and an inspection service model is provided for the personalized needs of online chemical instrument customers. The inspection service model is used to perform process modeling for the intelligent inspection service; second, for a specific inspection service, the service process is sorted out, and the description of the information transmission and complex logical relationship between the service processes is increased, and then a specific inspection service is performed based on the description; third, for a specific inspection service, a hierarchical timed colored Petri net is developed and applied, and the inspection service response characteristics are modeled and optimized, and a specific inspection service to be implemented is implemented based on the modeled and optimized inspection service response characteristics, thereby improving the quality and efficiency of the inspection service. The intelligent product service system is a static structure, whereas the delivery of inspection services is a dynamic process with processes as the main line. It is necessary to improve the theory and methods of service process modeling from the perspective of the dynamic structure of services, and to improve the intelligent inspection process according to the different granularities of service process modeling, as well as the different ecological characteristics of service activities at the micro level, service processes at the meso level, and service packages at the macro level.

[0005] A first aspect of the present invention is to provide an intelligent inspection method for online chemical instruments, comprising: S1, combining the static structure of the intelligent online chemical instrument inspection device with the dynamic process of inspection service delivery based on the process, and determining the inspection service model for the personalized needs of online chemical instrument customers, wherein the inspection service model is used to perform process modeling for the intelligent inspection service; S2, determining a specific type of inspection service with personalized needs, adding a description of information transmission and complex logical relationships between service processes based on an analysis of the service process of the specific inspection service, and performing the specific inspection service based on the description; S3, based on determining that the intelligent inspection of the current online chemical instrument is a specific inspection service in the said class of specific inspection services, develop and apply a hierarchical timed colored Petri net, model and optimize one or more response characteristics of the inspection service based on the application of the hierarchical timed colored Petri net, and implement the said specific inspection service based on the one or more inspection service response characteristics after modeling and optimization.

[0006] Preferably, the S1 comprises: S11, divide the inspection service packages based on customer-oriented personalized needs and the inspection service blueprint method; S12, adding a service business block between the divided multiple service packages, wherein the service business block has a cross-overlapping and series-parallel relationship between the connected service packages, thereby improving the completeness of the smart product service block planning.

[0007] Preferably, S2 includes: S21, determine a specific type of inspection service with personalized needs; S22, based on the analysis of the service process of the specific inspection service, the process of the inspection service is described using a BPMN diagram, and a description of information transmission and complex logical relationships between service processes is added to form a graphical model of the intelligent inspection process; S23, performing the specific inspection service based on the graphical model of the intelligent inspection process.

[0008] Preferably, S3 includes: S31, based on determining that the current intelligent inspection of the online chemical instrument is a specific inspection service in the type of specific inspection services, establishing an application hierarchical timed colored Petri net; S32, determining resource optimization configuration and scheduling based on the overall operation of the intelligent inspection process and the utilization of the security resources, thereby modeling and optimizing one or more response characteristics of the inspection service; S33: Implement the specific inspection service based on the one or more inspection service response characteristics that have been modeled and optimized.

[0009] Preferably, the S11 includes: (1) Taking the inspection service activities and user behaviors as the main line, determine the inspection service support system used to support the inspection service activities; the inspection service support system divides the basic elements of the inspection service package into explicit inspection services, implicit inspection services, supporting inspection processes and supporting inspection resources; (2) setting three lines, namely, the inspection user interaction dividing line, the front-end and back-end interaction visual dividing line, and the internal interaction dividing line, and dividing the inspection service package into four areas through the three lines, including the user activity domain corresponding to user needs and behaviors, the front-end service domain providing explicit services, the back-end service domain providing implicit services, and the support process domain supporting activities and supporting resources, so as to express the different element levels of the inspection service package; wherein, the inspection service set for different users is composed of a number of the inspection service packages; (3) Based on the vertical lines of user behavior, the intelligent product service packages are divided. Different service packages will interact and integrate at multiple levels due to the association of elements, sharing of resources, and inheritance of multiple inspection-related activities.

[0010] Preferably, the S22 includes: (1) According to the BPMN2.0 specification system, standardized graphical marking elements are provided for the service process based on the BPMN diagram to form a graphical model of the intelligent inspection process. The basic types of elements contained in the graphical model of the intelligent inspection process include four types: flow objects, connection objects, swim lanes, and manual information; (2) A simplified intelligent inspection mechanism is embedded in the process of creating a service process model based on the BPMN diagram. The simplified intelligent inspection mechanism can handle the complexity of the intelligent inspection business process.

[0011] Preferably, the implementation process of S31 includes: (1) The hierarchical timed colored Petri net is a time-based colored Petri net with priority, and an intelligent inspection and resource management model for online chemical instruments is established based on the time-based colored Petri net with priority; (2) CPN Tools is used to simulate the intelligent inspection and resource management model of online chemical instruments. The simulation process analyzes the overall operation of the intelligent inspection process and the utilization of the security resources.

[0012] A second aspect of the present invention is to provide an intelligent inspection system for online chemical instruments, which is used to implement the method of the first aspect, comprising: An inspection service model building module (101) is used to combine a statically structured intelligent online chemical instrument inspection device with a dynamic process of inspection service delivery based on a process flow, and determine an inspection service model for the personalized needs of online chemical instrument customers, wherein the inspection service model is used to perform process modeling on the intelligent inspection service; An intelligent inspection process graphical model building module (102) is used to determine a type of specific inspection service with personalized needs, add a description of information transmission and complex logical relationships between service processes based on an analysis of the service process of the specific inspection service, and perform the specific inspection service based on the description; The intelligent inspection implementation module (103) is used to develop and apply a hierarchical timed colored Petri net based on determining that the intelligent inspection of the current online chemical instrument is a specific inspection service in the class of specific inspection services, model and optimize one or more response characteristics of the inspection service based on the application of the hierarchical timed colored Petri net, and implement the specific inspection service based on the one or more inspection service response characteristics after modeling and optimization.

[0013] A third aspect of the present invention provides an electronic device, comprising a processor and a memory, wherein the memory stores a plurality of instructions, and the processor is configured to read the instructions and execute the method described in the first aspect.

[0014] A fourth aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a plurality of instructions, and the plurality of instructions can be read by a processor and execute the method described in the first aspect.

[0015] Beneficial effects of the method, system, electronic device and computer-readable storage medium of the present invention: The intelligent inspection method and device for online chemical instruments provide super intelligent online chemical instrument inspection. First, the static structure of the intelligent online chemical instrument inspection device is combined with the dynamic process of inspection service delivery with the process as the main line, and an inspection service model for the personalized needs of online chemical instrument customers is provided. The inspection service model is used to model the process of the intelligent inspection service; second, for a specific inspection service, the service process is sorted out, and the description of the information transmission and complex logical relationship between the service processes is increased, and then a specific inspection service is performed based on the description; third, for a specific inspection service, a hierarchical timed colored Petri net is developed and applied, and the inspection service response characteristics are modeled and optimized, and a specific inspection service to be implemented is implemented based on the modeled and optimized inspection service response characteristics, thereby improving the quality and efficiency of the inspection service. The intelligent product service system is a static structure, but the delivery of inspection services is a dynamic process with process as the main line. It is necessary to improve the theory and method of service process modeling from the perspective of the dynamic structure of the service. According to the different granularities of service process modeling, as well as the different ecological characteristics of three levels: micro-level service activities, meso-level service processes, and macro-level service packages, the intelligent inspection process is improved respectively, which greatly improves the intelligence level of inspection and solves the problems of high manpower cost of operation and maintenance of online chemical instruments, inaccurate and untimely fault judgment, unprofessional and inadequate maintenance processing methods, and low inspection pass rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the related technologies, the drawings required for use in the specific embodiments or the related technical descriptions will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flow chart of an intelligent inspection method for online chemical instruments provided according to an embodiment of the present invention; Figure 2 This is a flow chart of step S1 of an intelligent inspection method for online chemical instruments provided according to an embodiment of the present invention; Figure 3 A schematic diagram of a basic structural model of an inspection service package blueprint provided according to an embodiment of the present invention; Figure 4 This is a flow chart of step S2 of an intelligent inspection method for online chemical instruments provided according to an embodiment of the present invention; FIG5( a ) is a schematic diagram of a basic modeling framework of a BPMN diagram according to an embodiment of the present invention; FIG5( b ) is a schematic diagram of an activity type legend of a BPMN diagram provided according to an embodiment of the present invention; FIG5( c ) is a schematic diagram of a BMPN graph activity behavior labeling and a task type labeling legend according to an embodiment of the present invention; FIG5( d ) is a schematic diagram of an event in a BPMN diagram according to an embodiment of the present invention; Figure 6 This is a flow chart of step S3 of the intelligent inspection method for online chemical instruments provided according to an embodiment of the present invention; Figure 7 This is an architecture diagram of an intelligent inspection system for online chemical instruments provided according to an embodiment of the present invention; Figure 8 A schematic diagram of an application example process provided according to an embodiment of the present invention; Fig. 9 A structural diagram of an electronic device provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0020] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. Embodiment 1

[0021] like Figure 1As shown, the first aspect of the present invention is to provide an intelligent inspection method for online chemical instruments, comprising: S1, combining the static structure of the intelligent online chemical instrument inspection device with the dynamic process of inspection service delivery based on the process, and determining the inspection service model for the personalized needs of online chemical instrument customers, wherein the inspection service model is used to perform process modeling for the intelligent inspection service; like Figure 2 As shown, as a preferred embodiment, the S1 includes: S11, divide the inspection service packages based on customer-oriented personalized needs and the inspection service blueprint method; like Figure 3 As shown, in this embodiment, the inspection service package (SP) refers to a combination of a series of products and services provided for specific inspection needs. The inspection service package is characterized by being composed of tangible and intangible aspects, and the quality of the service package is described by the degree to which the tangible and intangible factors meet the inspection needs. The present invention classifies the basic elements of the inspection service package into four categories: explicit inspection services, implicit inspection services, support inspection processes, and support inspection resources. It is improved based on the general service blueprint model to form a basic model for inspection service package analysis, which has a good match with the macro-level inspection service package division that supports the intelligent inspection service of online chemical instruments proposed by the present invention, including: (1) Taking the inspection service activities and user behaviors as the main line, determine the inspection service support system used to support the inspection service activities; the inspection service support system divides the basic elements of the inspection service package into explicit inspection services, implicit inspection services, supporting inspection processes and supporting inspection resources; (2) setting three lines, namely, the inspection user interaction dividing line, the front-end and back-end interaction visual dividing line, and the internal interaction dividing line, and dividing the inspection service package into four areas through the three lines, including the user activity domain corresponding to user needs and behaviors, the front-end service domain providing explicit services, the back-end service domain providing implicit services, and the support process domain supporting activities and supporting resources, so as to express the different element levels of the inspection service package; wherein, the inspection service set for different users is composed of a number of the inspection service packages; (3) Based on the vertical lines of user behavior, the intelligent product service packages are divided. Different service packages will interact and integrate at multiple levels due to the association of elements, sharing of resources, and inheritance of multiple inspection-related activities.

[0022] S12, adding a service business block between the divided multiple service packages, wherein the service business block has a cross-overlapping and series-parallel relationship between the connected service packages, thereby improving the completeness of the smart product service block planning.

[0023] Technical effect of step S1: reflecting the production value correlation between inspection service packages from a macro analysis level.

[0024] S2, determining a specific type of inspection service with personalized needs, adding a description of information transmission and complex logical relationships between service processes based on an analysis of the service process of the specific inspection service, and performing the specific inspection service based on the description; like Figure 4 As shown, as a preferred embodiment, the S2 includes: S21, determine a specific type of inspection service with personalized needs; S22, based on the analysis of the service process of the specific inspection service, the process of the inspection service is described using a BPMN diagram, and a description of information transmission and complex logical relationships between service processes is added to form a graphical model of the intelligent inspection process; The general service process design often focuses on the analysis of macro service packages and the response analysis of service delivery activities. However, the modeling of service packages into service activities lacks a process of sorting out the flow of service information and the logical relationship between different links. In order to make up for this gap in technical methods, the present invention develops a graphical modeling method for service processes based on BPMN diagrams. The basic modeling framework of BPMN diagrams is shown in Figure 5 (a). Typical examples and their descriptions are shown in Figures 5 (b)-5 (d).

[0025] As a preferred implementation, the S22 includes: (1) According to the BPMN2.0 specification system, standardized graphical marking elements are provided for the service process based on the BPMN diagram to form a graphical model of the intelligent inspection process. The basic types of elements contained in the graphical model of the intelligent inspection process include four types, namely flow objects, connection objects, swim lanes, and artifacts. (2) A simplified intelligent inspection mechanism is embedded in the process of creating a service process model based on the BPMN diagram. The simplified intelligent inspection mechanism can handle the complexity of the intelligent inspection business process.

[0026] S23, performing the specific inspection service based on the graphical model of the intelligent inspection process.

[0027] Technical effect of step S2: reflecting the ecological synergy of the service business process from a meso-level perspective.

[0028] S3, based on determining that the intelligent inspection of the current online chemical instrument is a specific inspection service in the class of specific inspection services, developing and applying a hierarchical temporal colored Petri-Net (HTCP-Net), modeling and optimizing one or more response characteristics of the inspection service based on the application of the hierarchical temporal colored Petri-Net, and implementing the specific inspection service based on the one or more inspection service response characteristics after modeling and optimization; like Figure 6 As shown, as a preferred implementation, S3 includes: S31, based on determining that the current intelligent inspection of the online chemical instrument is a specific inspection service in the type of specific inspection services, establishing and applying a hierarchical temporal colored Petri-Net (HTCP-Net); As an important means to solve large-scale computing problems, high-performance computing technology is increasingly widely used in the scientific and engineering fields of online chemical instruments. However, with the continuous expansion of the scale of high-performance computers and the rapid improvement of system peak performance, the sustained performance of applications has not been improved in the same proportion, and the gap between the two is widening. Therefore, how to find the system performance bottleneck of online chemical instruments and improve the sustained performance of the system has become a key issue that needs to be urgently solved in the field of high-performance computing research. Establishing and applying hierarchical timed colored Petri nets has become the best method.

[0029] In this embodiment, the implementation process of S31 includes: (1) The hierarchical timed colored Petri net is a time-based colored Petri net with priority, and an intelligent inspection and resource management model for online chemical instruments is established based on the time-based colored Petri net with priority; (2) CPN Tools is used to simulate the intelligent inspection and resource management model of online chemical instruments. The simulation process analyzes the overall operation of the intelligent inspection process and the utilization of the security resources.

[0030] S32, based on the overall operation of the intelligent inspection process and the utilization of the guarantee resources, determine the resource optimization configuration and scheduling, so as to model and optimize one or more response characteristics of the inspection service; by increasing the comprehensive description of the hierarchy, timeliness and multi-directionality of the service activities, improve the quality and efficiency of the optimization service; S33: Implement the specific inspection service based on the one or more inspection service response characteristics that have been modeled and optimized.

[0031] Technical effect of step S3: reflecting the high efficiency and high quality of service activities from a micro level. Embodiment 2

[0032] like Figure 7 As shown, this embodiment provides an intelligent inspection system for online chemical instruments, which is used to implement the method of embodiment 1, including: The inspection service model building module 101 is used to combine the static structure of the intelligent online chemical instrument inspection device with the dynamic process of inspection service delivery based on the process, and determine the inspection service model for the personalized needs of the online chemical instrument customers. The inspection service model is used to perform process modeling for the intelligent inspection service; The intelligent inspection process graphical model building module 102 is used to determine a specific inspection service with personalized needs, add a description of information transmission and complex logical relationships between service processes based on the analysis of the service process of the specific inspection service, and perform the specific inspection service based on the description; The intelligent inspection implementation module 103 is used to develop and apply a hierarchical temporal colored Petri-Net (HTCP-Net) based on determining that the intelligent inspection of the current online chemical instrument is a specific inspection service in the class of specific inspection services, model and optimize one or more response characteristics of the inspection service based on the application of the hierarchical timed colored Petri-Net, and implement the specific inspection service based on the one or more inspection service response characteristics after modeling and optimization. Application Examples

[0033] 1. Intelligent inspection device It includes information collection end, operation processing end, diagnostic database, fault analysis and feedback end, maintenance and processing end. They are explained as follows: 1. Information collection terminal: This device collects information through external information such as display graphics, historical curves, operating data and fault alarms of online chemical instruments; 2. Operation and processing end: Based on the collected information, the knowledge of the diagnostic database is called to analyze and process, and a reasonable solution is given; 3. Diagnostic database: The database contains fault analysis and solutions, and has programmable input, voice input and automatic learning functions; 4. Fault analysis and feedback: Call database information for analysis and judgment to avoid misjudgment caused by personnel level or quality. At the same time, feedback the analysis, judgment or processing opinions and operations through the human-computer interaction interface to guide fault handling; 5. Maintenance and processing end: through analysis and judgment or processing opinions, fixed operation and maintenance of online instruments are carried out according to database knowledge information to reduce the workload of personnel; (II) Related work flow: The intelligent inspection device is placed at the online chemical instrument work site for unattended operation. The intelligent inspection device can be designed for scheduled inspection and call inspection.

[0034] 1. Scheduled inspection is designed so that the intelligent inspection device automatically enters the working state at the set time, and checks and analyzes the online chemical instruments one by one through the information collection end according to the program route and inspection requirements. If it is normal, the operation data and operation status will be recorded. If it is abnormal, the fault information will be collected and sorted out, and the diagnostic data inventory information will be called through the operation processing end for comprehensive judgment and analysis. If the analysis and judgment can be made, the treatment opinions will be given through the fault analysis and feedback end or automatic maintenance operation will be performed through the maintenance and processing end. If the analysis and treatment opinions cannot be given, the problem content will be recorded and self-learned at the same time, and the operation personnel will be notified in time through the remote transmission system, and finally records and alarms will be made.

[0035] 2. The wake-up function is designed to be used when an online chemical instrument has a fault alarm or needs to be inspected. The alarm function or active request is used to wake up the intelligent inspection device nearby or remotely for inspection and analysis. The information collection end is used to view and analyze the online chemical instrument. If it is normal, the operation data and operation status are recorded. If it is abnormal, the fault information is collected and sorted. The diagnostic data inventory information is called through the operation processing end for comprehensive judgment and analysis. If the analysis and judgment can be made, the processing opinions are given through the fault analysis and feedback end or through the maintenance and processing end for automatic maintenance operations. If the analysis and processing opinions cannot be given, the problem content is recorded and self-learned, and the operation personnel are notified in time through the remote transmission system. Finally, records and alarms are made.

[0036] The process diagram is as follows Figure 8 shown.

[0037] Taking the online silicate monitor as an example, we will explain how the intelligent inspection device can solve the current inaccurate measurement inspection fault. Based on the diagnostic database, the analysis logic program is embedded in advance. The logic program is due to the working principle of the online silicate monitor with the help of the Beer-Lambert-Bogel law, which belongs to the photoelectric colorimetric instrument. As long as the stability and certainty of the blank voltage value of the optical path are guaranteed, its normal measurement conditions basically include only three aspects: the effectiveness of the colorimetric agent, the effectiveness of the hardware electromagnetic valve and the correct calibration.

[0038] 1. Fault Diagnosis 1: Hardware solenoid valve failure can be divided into blockage and leakage. The intelligent patrol inspection device processes through information collection based on the database operation. When it judges that the measurement is inaccurate, it can activate the hardware test function of the silicate monitor through the linkage execution line. Analyze and judge whether the solenoid valve is blocked or leaking respectively, on the premise that the optical path blank voltage value is stable and within a certain index range. The diagnosis content is as follows: First, according to the operation instructions, enter the hardware test menu and close all solenoid valves. Then, through program operations, sequentially execute (1) - channel valve N, (2) - metering valve, (3) - mixing valve, (4) - drain valve, (5) - calibration valve: in both the closed and open states, observe and judge the flow of the sample water respectively. If the sample water cannot flow quickly when various solenoid valves are in the "open" working state, it is initially diagnosed that the solenoid valve is blocked, and the intelligent patrol inspection device will prompt an error or send an alarm notification; if the sample water cannot be retained when in the "closed" working state, it is initially diagnosed that the solenoid valve is leaking, and the intelligent patrol inspection device will prompt an error or send an alarm notification; otherwise, it is working normally, and then the optical path intelligent adjustment system is used to ensure that the optical path blank voltage value is stable and within a certain index range.

[0039] 2. Fault Diagnosis 2: Color-developing reagent failure. The intelligent patrol inspection device processes through information collection based on the database operation. When it judges that the measurement is inaccurate, and then through Fault Diagnosis 1 to confirm that the hardware solenoid valve is normal, and at the same time, on the premise that the optical path blank voltage value is stable and within a certain index range, it is initially diagnosed that the color-developing reagent has failed. The intelligent patrol inspection device extracts the color-developing reagent from the color-developing reagent bottle and adds it to the solution with a large silicon content in sequence according to the working principle process (under acidic conditions <pH value is 1.1 - 1.3>, the soluble silicon in the sample water reacts with ammonium molybdate to form a yellow silicon molybdenum complex, and the silicon molybdenum complex is reduced to silicon molybdenum blue by a reducing agent). If a normal color reaction occurs to form a dark blue color, it proves that the color-developing reagent is normal; if the color reaction forms a light blue or colorless color, it proves that the color-developing reagent has failed. The intelligent patrol inspection device can complete the diagnosis of color-developing reagent failure, prompt for replacement or automatically perform configuration replacement.

[0040] 3. Fault Diagnosis 3: Calibration expiration. The intelligent patrol inspection device processes through information collection based on the database operation. When it judges that the measurement is inaccurate, and then through Fault Diagnosis 1 and Fault Diagnosis 2 to confirm normality, and at the same time, on the premise that the optical path blank voltage value is stable and within a certain index range, it is initially diagnosed that the calibration has expired. The intelligent patrol inspection device can complete the diagnosis of calibration expiration, prompt for calibration or automatically perform liquid preparation standard.

[0041] The present invention also provides a memory that stores multiple instructions for implementing the method as in Example 1.

[0042] Such as Fig. 9As shown, the present invention also provides an electronic device, including a processor 301 and a memory 302 connected to the processor 301, the memory 302 stores a plurality of instructions, and the instructions can be loaded and executed by the processor so that the processor can execute the method as in the first embodiment.

[0043] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above embodiments can be implemented by software, or by means of software plus necessary general hardware platforms. Based on such understanding, the technical solutions of the above embodiments can be embodied in the form of software products, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0044] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent inspection method for online chemical instruments, characterized in that: include: S1, combining the static structure of the intelligent online chemical instrument inspection device with the dynamic process of inspection service delivery based on the process, and determining the inspection service model for the personalized needs of online chemical instrument customers, wherein the inspection service model is used to perform process modeling for the intelligent inspection service; S2, determining a specific type of inspection service with personalized needs, adding a description of information transmission and complex logical relationships between service processes based on an analysis of the service process of the specific inspection service, and performing the specific inspection service based on the description; S3, based on determining that the intelligent inspection of the current online chemical instrument is a specific inspection service in the said class of specific inspection services, develop and apply a hierarchical timed colored Petri net, model and optimize one or more response characteristics of the inspection service based on the application of the hierarchical timed colored Petri net, and implement the said specific inspection service based on the one or more inspection service response characteristics after modeling and optimization.

2. The intelligent inspection method for online chemical instruments according to claim 1, characterized in that: The S1 includes: S11, divide the inspection service packages based on customer-oriented personalized needs and the inspection service blueprint method; S12, adding a service business block between the divided multiple service packages, wherein the service business block has a cross-overlapping and series-parallel relationship between the connected service packages, thereby improving the completeness of the smart product service block planning.

3. The intelligent inspection method for online chemical instruments according to claim 2 is characterized in that: The S2 includes: S21, determine a specific type of inspection service with personalized needs; S22, based on the analysis of the service process of the specific inspection service, the process of the inspection service is described using a BPMN diagram, and a description of information transmission and complex logical relationships between service processes is added to form a graphical model of the intelligent inspection process; S23, performing the specific inspection service based on the graphical model of the intelligent inspection process.

4. The intelligent inspection method for online chemical instruments according to claim 3 is characterized in that: The S3 includes: S31, based on determining that the current intelligent inspection of the online chemical instrument is a specific inspection service in the type of specific inspection services, establishing an application hierarchical timed colored Petri net; S32, determining resource optimization configuration and scheduling based on the overall operation of the intelligent inspection process and the utilization of the security resources, thereby modeling and optimizing one or more response characteristics of the inspection service; S33: Implement the specific inspection service based on the one or more inspection service response characteristics that have been modeled and optimized.

5. The intelligent inspection method for online chemical instruments according to claim 4, characterized in that: The S11 includes: (1) Taking the inspection service activities and user behaviors as the main line, determine the inspection service support system used to support the inspection service activities; the inspection service support system divides the basic elements of the inspection service package into explicit inspection services, implicit inspection services, supporting inspection processes and supporting inspection resources; (2) setting three lines, namely, the inspection user interaction dividing line, the front-end and back-end interaction visual dividing line, and the internal interaction dividing line, and dividing the inspection service package into four areas through the three lines, including the user activity domain corresponding to user needs and behaviors, the front-end service domain providing explicit services, the back-end service domain providing implicit services, and the support process domain supporting activities and supporting resources, so as to express the different element levels of the inspection service package; wherein, the inspection service set for different users is composed of a number of the inspection service packages; (3) Based on the vertical lines of user behavior, the intelligent product service packages are divided. Different service packages will interact and integrate at multiple levels due to the association of elements, sharing of resources, and inheritance of multiple inspection-related activities.

6. The intelligent inspection method for online chemical instruments according to claim 5, characterized in that: The S22 includes: (1) According to the BPMN2.0 specification system, standardized graphical marking elements are provided for the service process based on the BPMN diagram to form a graphical model of the intelligent inspection process. The basic types of elements contained in the graphical model of the intelligent inspection process include four types: flow objects, connection objects, swim lanes, and manual information; (2) A simplified intelligent inspection mechanism is embedded in the process of creating a service process model based on the BPMN diagram. The simplified intelligent inspection mechanism can handle the complexity of the intelligent inspection business process.

7. The intelligent inspection method for online chemical instruments according to claim 6, characterized in that: The implementation process of S31 includes: (1) The hierarchical timed colored Petri net is a time-based colored Petri net with priority, and an intelligent inspection and resource management model for online chemical instruments is established based on the time-based colored Petri net with priority; (2) CPN Tools is used to simulate the intelligent inspection and resource management model of online chemical instruments. The simulation process analyzes the overall operation of the intelligent inspection process and the utilization of the security resources.

8. An intelligent inspection system for online chemical instruments, used to implement the method described in any one of claims 1 to 7, characterized in that: include: An inspection service model building module (101) is used to combine a statically structured intelligent online chemical instrument inspection device with a dynamic process of inspection service delivery based on a process flow, and determine an inspection service model for the personalized needs of online chemical instrument customers, wherein the inspection service model is used to perform process modeling on the intelligent inspection service; An intelligent inspection process graphical model building module (102) is used to determine a type of specific inspection service with personalized needs, add a description of information transmission and complex logical relationships between service processes based on an analysis of the service process of the specific inspection service, and perform the specific inspection service based on the description; The intelligent inspection implementation module (103) is used to develop and apply a hierarchical timed colored Petri net based on determining that the intelligent inspection of the current online chemical instrument is a specific inspection service in the class of specific inspection services, model and optimize one or more response characteristics of the inspection service based on the application of the hierarchical timed colored Petri net, and implement the specific inspection service based on the one or more inspection service response characteristics after modeling and optimization.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores a plurality of instructions, and the processor is used to read the instructions and execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a plurality of instructions, and the plurality of instructions can be read by a processor to execute the method according to any one of claims 1 to 7.

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