CN113727099A - Transmitter-based intelligent health analysis and diagnosis method and system - Google Patents
Transmitter-based intelligent health analysis and diagnosis method and system Download PDFInfo
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- CN113727099A CN113727099A CN202111281916.5A CN202111281916A CN113727099A CN 113727099 A CN113727099 A CN 113727099A CN 202111281916 A CN202111281916 A CN 202111281916A CN 113727099 A CN113727099 A CN 113727099A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/38—Transmitter circuitry for the transmission of television signals according to analogue transmission standards
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Abstract
The invention provides an intelligent health analysis and diagnosis method based on a transmitter, which comprises the following steps: a data sampling step, namely acquiring data of each module; a health analysis and diagnosis step, namely judging data according to the data type corresponding to the modules and the corresponding parameter index standards to acquire the running state of each module; and a fault positioning step, namely comprehensively analyzing the running state of the module, positioning the fault and diagnosing the running condition of the whole transmitter. The technical points of the invention are as follows: by making the transmitter intelligent, networked and digitalized, more accurate maintenance strategies are provided for maintenance personnel; the automation of transmitter fault diagnosis is realized, and the maintenance time and the labor cost are saved; the potential problem of equipment operation is easier to find, a preventive maintenance means is used, the development of faults is limited, and the condition that a transmitter is down is avoided; the transition from "empirical maintenance" to "preventive maintenance" for transmitter maintenance management is achieved.
Description
Technical Field
The invention relates to the technical field of fault diagnosis, in particular to an intelligent health analysis and diagnosis method and system based on a transmitter.
Background
The television transmitter is used as the core equipment of the broadcast base station of the television station and is an important component of the publicity place of the parties and the countries. The emitted signal is continuously played efficiently and stably, and abnormal conditions occur in all aspects of social life of people, so that the social production and life of people are greatly influenced.
With the continuous progress of information technology, broadcasting and transmission of broadcast signals are developing towards digitization, networking and intelligence. Leading to increasingly complex compositions for broadcast television broadcast systems. To some extent, the display of the system running state is not intuitive, so that the troubleshooting difficulty is higher and higher.
The traditional transmitter maintenance and management seriously depends on real-time monitoring by maintenance personnel, and when a fault occurs, the maintenance personnel and technical experts need to be relied on to personally deal with the problem of troubleshooting, find out the root cause of the fault, and then carry out maintenance and repair work. Along with the increase of the repair difficulty, the time of manpower and material resources required for maintaining and managing the transmitter is increased, so that the operation and maintenance cost is increased, and the traditional maintenance technical means is not suitable for the development trend of the modern transmitter equipment and system. In addition to this, there are several drawbacks: (1) in the operation and maintenance process of the traditional transmitter, machine room maintenance personnel lack the capability of quickly positioning the fault points of the whole transmitter equipment and system, need to manually report the fault, and cooperate with technical personnel to troubleshoot the problem, so that the consumed time and the labor intensity are large; (2) the traditional transmitter does not have intelligent health analysis, automatic fault analysis and abnormal alarm capabilities, and can not check potential small faults when the transmitter equipment operates. When the transmitter has a play failure, the time is often too late, and the influence range is large.
Disclosure of Invention
The invention aims to provide an intelligent health analysis and diagnosis method and system based on a transmitter, so as to solve the problems pointed out in the background art.
The embodiment of the invention is realized by the following technical scheme: an intelligent health analysis and diagnosis method based on a transmitter comprises the following steps:
a data sampling step, which is to establish communication with each module of the transmitter to acquire the data of each module;
a health analysis and diagnosis step, namely judging data according to the data type corresponding to the modules and the corresponding parameter index standards to acquire the running state of each module;
and a fault positioning step, namely comprehensively analyzing the running state of each module, positioning the fault and diagnosing the running condition of the whole transmitter.
According to a preferred embodiment, the method further comprises, before the data sampling step:
the link construction model of the transmitter is constructed based on the signal processing link relation of each module in the transmitter, wherein each module in the transmitter comprises an exciter, a switcher, a distributor, power amplifier plug-in units, a synthesizer and a filter, the exciter, the switcher and the distributor are connected in sequence, the signal output end of each distributor is connected with a plurality of power amplifier plug-in units, the signal output end of each power amplifier plug-in unit is connected to the synthesizer, and the synthesizer is connected with the filter.
According to a preferred embodiment, in the fault locating step, the following method is adopted for locating the fault:
and analyzing and reasoning according to the sequence from back to front based on the running state of each module, and positioning the position of the module with the fault in the whole link.
According to a preferred embodiment, the fault locating step specifically includes:
1.1, according to the running state of each module, starting to analyze and infer from behind a filter, and positioning the position of a module with a fault in the whole link;
1.2, judging whether Po after the filter is normal or not through a parameter index standard, if so, enabling the transmitter to normally operate, wherein Po refers to output power and is acquired by a second directional coupler, and the second directional coupler is connected to a signal output end of the filter;
if not, skipping to the step 1.3;
1.3, judging whether the Po before the filter is normal, if so, positioning the fault of the filter, wherein the Po before the filter is acquired by a first directional coupler connected to the signal input end of the filter;
if not, skipping to step 1.4;
1.4, judging whether Po outputs of all power amplifier plug-ins are normal or not, judging whether the sum of Po meets Po indexes after a filter or not, and if yes, positioning faults of a synthesizer;
if not, jumping to the step 1.5;
1.5, checking each power amplifier plug-in, judging whether all final power amplifier currents of the power amplifier plug-in are normal, if so, judging that a synthesizer in the power amplifier plug-in breaks down;
if not, synchronizing the state of the last-stage module in the power amplifier plug-in, and skipping to the step 1.6;
1.6, judging whether the preceding stage power amplifier current of the power amplifier plug-in is normal or not, if so, judging that a distributor in the power amplifier plug-in has a fault;
if not, synchronizing the state of the preceding-stage module in the power amplifier plug-in, and skipping to the step 1.7;
1.7, when the current of the front-stage power amplifier is abnormal, further judging whether the exciter Po is normal, if so, positioning the fault of the exciter;
if not, checking the distributor and the switcher, and skipping to the step 1.8;
1.8, judging whether all plug-ins Pi are normal, if so, positioning a distributor fault and a switcher fault, wherein Pi refers to input power;
if not, the distributor fails.
According to a preferred embodiment, the method further comprises, after the fault locating step:
and periodically recording and uploading the running state of each module, and sending the working state of each component module in the signal processing link of the transmitter to a display module for display.
According to a preferred embodiment, the transmitter information processing link status and the operating status of each module in the display module are identified in different colors.
According to a preferred embodiment, the parameter index standard adopts a parameter segmentation threshold, and different parameter judgment standards are set.
The invention also provides an intelligent health analysis and diagnosis system based on a transmitter, which is applied to the method, and comprises the following steps:
the data sampling module is used for acquiring parameter data of each module in the transmitter;
the health analysis and diagnosis module is used for receiving the data sampled by the data sampling module, comprehensively analyzing the parameters of the whole transmitter according to the parameter index standard and reasoning the operation condition of each module of the transmitter;
the display module is used for displaying the running state of each module inside the transmitter in real time;
and the server is used for receiving and storing the data uploaded by the health analysis and diagnosis module.
According to a preferred embodiment, the method further comprises a model building module,
the model building module is used for building a link construction model of the transmitter based on the signal processing link relation of each module in the transmitter, wherein the module in the transmitter comprises an exciter, a switcher, a distributor, power amplifier plug-in units, a synthesizer and a filter, the exciter, the switcher and the distributor are connected in sequence, the signal output end of the distributor is connected with the power amplifier plug-in units, the signal output end of each power amplifier plug-in unit is connected to the synthesizer, and the synthesizer is connected with the filter.
The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, and when the computer program runs, the apparatus on which the computer-readable storage medium is located is controlled to execute the transmitter-based intelligent health analysis and diagnosis method as described above.
The technical scheme of the embodiment of the invention at least has the following advantages and beneficial effects: (1) the invention provides more accurate maintenance strategies for maintenance personnel by making the transmitter intelligent, networked and digitalized; (2) the invention realizes the automation of transmitter fault diagnosis, saves the maintenance time and the labor cost; (3) by the method provided by the invention, the potential problem of equipment operation is easier to find, the development of faults is limited by using a preventive maintenance means, and the condition that a transmitter is down is avoided; (4) the invention realizes the conversion from empirical maintenance to preventive maintenance.
Drawings
Fig. 1 is a schematic flow chart of a transmitter-based intelligent health analysis and diagnosis method according to embodiment 1 of the present invention;
fig. 2 is a schematic diagram of a transmitter sampling model provided in embodiment 1 of the present invention;
fig. 3 is a schematic flowchart of fault diagnosis provided in embodiment 1 of the present invention;
fig. 4 is a schematic structural diagram of an intelligent health analysis and diagnosis system based on a transmitter according to embodiment 1 of the present invention.
Fig. 5 is a schematic diagram of an internal configuration model of a transmitter-based card according to embodiment 1 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart of a transmitter-based intelligent health analysis and diagnosis method according to embodiment 1 of the present invention.
The research of the applicant finds that the traditional transmitter maintenance and management seriously depends on the real-time monitoring of maintenance personnel, and when a fault occurs, the maintenance personnel and technical experts need to be relied on to personally process the troubleshooting problem, find the root cause of the fault, and then carry out maintenance and repair work. Along with the increase of the repair difficulty, the time of manpower and material resources required for maintaining and managing the transmitter is increased, so that the operation and maintenance cost is increased, and the traditional maintenance technical means is not suitable for the development trend of the modern transmitter equipment and system. In addition to this, there are several drawbacks: (1) in the operation and maintenance process of the traditional transmitter, machine room maintenance personnel lack the capability of quickly positioning the fault points of the whole transmitter equipment and system, need to manually report the fault, and cooperate with technical personnel to troubleshoot the problem, so that the consumed time and the labor intensity are large; (2) the traditional transmitter does not have intelligent health analysis, automatic fault analysis and abnormal alarm capabilities, and can not check potential small faults when the transmitter equipment operates. When the transmitter has a playing fault, the playing is often too late, so that the influence range is large; (3) the traditional transmitter operation and maintenance management means lack the life cycle management of components of transmitter equipment, and the loss and the service life of the components inside each module of the transmitter cannot be effectively evaluated. The invention aims to provide an intelligent health analysis and diagnosis method and system based on a transmitter, which aim to solve the problems pointed out above, and the scheme is as follows:
an intelligent health analysis and diagnosis method based on a transmitter comprises the following steps:
a data sampling step, namely establishing communication with each module of the transmitter to acquire data of each module, such as parameters of current, voltage, power, rotating speed and the like of an exciter, a power amplifier group, a fan and a power supply group of the transmitter;
a health analysis and diagnosis step, namely judging data according to the data type corresponding to the modules and the corresponding parameter index standards to acquire the running state of each module;
and a fault positioning step, namely comprehensively analyzing the running state of each module, positioning the fault and diagnosing the running condition of the whole transmitter.
Considering that the transmitter is a signal processing radio device, the modules are connected according to the link relation of signal processing, so that parameter changes between the modules have certain relevance; therefore, in an implementation manner of this embodiment, before the data sampling step, the method further includes: based on the signal processing link relationship of each module in the transmitter, a link construction model of the transmitter is constructed, which is shown in fig. 2, wherein the module in the transmitter comprises an exciter, a switcher, a distributor, a power amplifier plug-in, a synthesizer and a filter, the exciter, the switcher and the distributor are connected in sequence, it needs to be noted that the transmitter comprises two exciters, and the switcher is used for switching the main exciter and the standby exciter; furthermore, the signal output end of the distributor is connected with a plurality of power amplifier plug-in units, the signal output end of each power amplifier plug-in unit is connected to a synthesizer, and the synthesizer is connected with the filter. In addition, a plug-in internal configuration model is also constructed for the power amplifier plug-in internal configuration, and the plug-in internal configuration model is shown in fig. 5.
Further, according to the above model, the present embodiment performs analysis and inference in a sequence from back to front based on the operation state of each module, and locates the position of the failed module in the entire link, thereby implementing fault location. For example, when the final power amplifier 1 of the power amplifier plug-in 1 of the 1kw transmitter fails, the loads of other final power amplifiers at the same level are too high, and the final module fails in current appearance, the other final modules are abnormal, so that the overall output power of the plug-in is abnormal, the output power formed by combining the power amplifiers is abnormal, and the overall output power after filtering is also abnormal; the input power of the exciter, the distributor, the synthesizer and the power amplifier plug-in is not influenced by the module and is abnormal; and other modules have faults, and positioning can be realized according to the method. By adopting a mode of model reasoning and judging through parameter index standards of modules at all levels, the key position of the fault of the transmitter can be deduced, and the running state of each module is obtained. The parameter index standard adopts a parameter segmentation threshold, and different parameter judgment standards are set. For example, for a power amplifier plug-in Po, setting 0-threshold 1 as a fault, setting 1-threshold 2 as normal, and setting threshold 2+ as a fault; and aiming at the current of the final-stage plug-in unit, setting 0-static current as a fault, setting static current-threshold 1 as a warning, setting threshold 1-threshold 2 as normal, and setting threshold 2+ as a fault.
Referring to fig. 3, the fault location step specifically includes:
1.1, according to the running state of each module, starting to analyze and infer from behind a filter, and positioning the position of a module with a fault in the whole link;
1.2, judging whether Po after the filter is normal or not through a parameter index standard, if so, enabling the transmitter to normally operate, wherein Po refers to output power and is acquired by a second directional coupler, and the second directional coupler is connected to a signal output end of the filter; if not, skipping to the step 1.3;
1.3, judging whether the Po before the filter is normal, if so, positioning the fault of the filter, wherein the Po before the filter is acquired by a first directional coupler connected to the signal input end of the filter; if not, skipping to step 1.4;
1.4, judging whether Po outputs of all power amplifier plug-ins are normal or not, judging whether the sum of Po meets Po indexes after a filter or not, and if yes, positioning faults of a synthesizer; if not, jumping to the step 1.5;
1.5, checking each power amplifier plug-in, judging whether all final power amplifier currents of the power amplifier plug-in are normal, if so, judging that a synthesizer in the power amplifier plug-in breaks down; if not, synchronizing the state of the last-stage module in the power amplifier plug-in, and skipping to the step 1.6;
1.6, judging whether the preceding stage power amplifier current of the power amplifier plug-in is normal or not, if so, judging that a distributor in the power amplifier plug-in has a fault; if not, synchronizing the state of the preceding-stage module in the power amplifier plug-in, and skipping to the step 1.7;
1.7, when the current of the front-stage power amplifier is abnormal, further judging whether the exciter Po is normal, if so, positioning the fault of the exciter; if not, checking the distributor and the switcher, and skipping to the step 1.8;
1.8, judging whether all plug-ins Pi are normal, if so, positioning a distributor fault and a switcher fault, wherein Pi refers to input power; if not, the distributor fails.
Further, the method further comprises, after the fault locating step: and periodically recording and uploading the running state of each module, and sending the working state of each component module in the signal processing link of the transmitter to a display module for display. The transmitter information processing link state in the display module and the working state of each module are marked by different colors. For example, white represents module communication off or standby, green represents normal, yellow represents warning, and red represents fault. The display module is used for drawing a parameter trend graph of the module by periodically recording parameter data and drawing the parameter change trend graph according to the time sequence, so that the monitoring and early warning of the whole life cycle of each module in the transmitter are realized.
In addition, the current transmitter operation and maintenance management means lack the life cycle management of each module in the transmitter, and the loss and the service life of each component in each module of the transmitter cannot be effectively evaluated. The embodiment of the invention also provides a transmitter loss evaluation method, which comprises the following steps: in a transmitter signal processing link, taking a power amplifier plug-in as an example, the power amplifier plug-in is responsible for the amplification of a transmitter signal, and the loss and the service life of the power amplifier plug-in have very important relations with the accumulated running time and the current index of the power amplifier plug-in. The invention constructs a functional relation model between the probability of power amplifier module current abnormity and time, namely a transmitter residual service life model, and can determine the probability of the fault of the transmitter power amplifier plug-in the current operation state by comparing the index of the current power amplifier plug-in with the accumulated operation time, thereby providing judgment basis for arranging maintenance time, optimizing operation efficiency and effectively avoiding unplanned shutdown.
Referring to fig. 4, an embodiment of the present invention further provides a transmitter-based intelligent health analysis and diagnosis system, which is applied to the method described above, and includes:
the data sampling module is used for acquiring parameter data of each module in the transmitter, such as parameters of current, voltage, power, rotating speed and the like of an exciter, a power amplifier group, a fan and a power supply group of the transmitter;
the health analysis and diagnosis module is used for receiving the data sampled by the data sampling module, firstly converting the sampled data, then obtaining an index standard of a parameter according to a conversion result, further comprehensively analyzing the whole transmitter parameter according to the parameter index standard, reasoning the running condition of each module of the transmitter, periodically uploading and recording the health analysis condition and the data of the transmitter, and uploading to the display module of the display module for displaying;
the display module forms a layout according to the transmitter sampling model and is used for displaying the running state of each module in the transmitter in real time; such as exciters, switches, dividers, synthesizers, dividers within filters and power amplifier cards, power amplifier modules, synthesizers, and the like. Furthermore, the running state of the whole link of the transmitter can be checked through interface operation; the running state of the transmitter can be analyzed to quickly locate the fault; a parameter trend graph of the operation of the transmitter can be checked; a threshold interval of the parameter index standard can be configured;
and the server is used for receiving and storing the data uploaded by the health analysis and diagnosis module. Specifically, the embodiment of the invention supports wired and 4G networks, supports various network protocols such as TCP/IP, SNMP and the like, establishes network communication with the server during system initialization, and uploads data in the analysis process.
Still include the model construction module, the model construction module is used for the signal processing link relation based on inside each module of transmitter, constructs the link construction model of transmitter, and wherein, the inside module of transmitter includes exciter, switch, distributor, power amplifier plug-in components, synthesizer and wave filter, exciter, switch, distributor are connected in order, the signal output part of distributor is connected with a plurality of power amplifier plug-in components, and the signal output part of each power amplifier plug-in component is connected to the synthesizer, the synthesizer is connected with the wave filter.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, where when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute the method for intelligent health analysis and diagnosis based on a transmitter as described above.
In summary, the technical solution of the embodiment of the present invention has at least the following advantages and beneficial effects: (1) the invention provides more accurate maintenance strategies for maintenance personnel by making the transmitter intelligent, networked and digitalized; (2) the invention realizes the automation of transmitter fault diagnosis, saves the maintenance time and the labor cost; (3) by the method provided by the invention, the potential problem of equipment operation is easier to find, the development of faults is limited by using a preventive maintenance means, and the condition that a transmitter is down is avoided; (4) the invention realizes the conversion from empirical maintenance to preventive maintenance.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An intelligent health analysis and diagnosis method based on a transmitter is characterized by comprising the following steps:
a data sampling step, which is to establish communication with each module of the transmitter to acquire the data of each module;
a health analysis and diagnosis step, namely judging data according to the data type corresponding to the modules and the corresponding parameter index standards to acquire the running state of each module;
and a fault positioning step, namely comprehensively analyzing the running state of each module, positioning the fault and diagnosing the running condition of the whole transmitter.
2. The transmitter-based intelligent health analysis and diagnosis method of claim 1, wherein the method further comprises, prior to the data sampling step:
the link construction model of the transmitter is constructed based on the signal processing link relation of each module in the transmitter, wherein each module in the transmitter comprises an exciter, a switcher, a distributor, power amplifier plug-in units, a synthesizer and a filter, the exciter, the switcher and the distributor are connected in sequence, the signal output end of each distributor is connected with a plurality of power amplifier plug-in units, the signal output end of each power amplifier plug-in unit is connected to the synthesizer, and the synthesizer is connected with the filter.
3. The transmitter-based intelligent health analysis and diagnosis method of claim 1, wherein in the fault location step, locating the fault is performed by:
and analyzing and reasoning according to the sequence from back to front based on the running state of each module, and positioning the position of the module with the fault in the whole link.
4. The transmitter-based intelligent health analysis and diagnosis method of claim 2, wherein the fault locating step specifically comprises:
1.1, according to the running state of each module, starting to analyze and infer from behind a filter, and positioning the position of a module with a fault in the whole link;
1.2, judging whether Po after the filter is normal or not through a parameter index standard, if so, enabling the transmitter to normally operate, wherein Po refers to output power and is acquired by a second directional coupler, and the second directional coupler is connected to a signal output end of the filter;
if not, skipping to the step 1.3;
1.3, judging whether the Po before the filter is normal, if so, positioning the fault of the filter, wherein the Po before the filter is acquired by a first directional coupler connected to the signal input end of the filter;
if not, skipping to step 1.4;
1.4, judging whether Po outputs of all power amplifier plug-ins are normal or not, judging whether the sum of Po meets Po indexes after a filter or not, and if yes, positioning faults of a synthesizer;
if not, jumping to the step 1.5;
1.5, checking each power amplifier plug-in, judging whether all final power amplifier currents of the power amplifier plug-in are normal, if so, judging that a synthesizer in the power amplifier plug-in breaks down;
if not, synchronizing the state of the last-stage module in the power amplifier plug-in, and skipping to the step 1.6;
1.6, judging whether the preceding stage power amplifier current of the power amplifier plug-in is normal or not, if so, judging that a distributor in the power amplifier plug-in has a fault;
if not, synchronizing the state of the preceding-stage module in the power amplifier plug-in, and skipping to the step 1.7;
1.7, when the current of the front-stage power amplifier is abnormal, further judging whether the exciter Po is normal, if so, positioning the fault of the exciter;
if not, checking the distributor and the switcher, and skipping to the step 1.8;
1.8, judging whether all plug-ins Pi are normal, if so, positioning a distributor fault and a switcher fault, wherein Pi refers to input power;
if not, the distributor fails.
5. The transmitter-based intelligent health analysis and diagnosis method of claim 2, wherein the method further comprises, after the fault locating step:
and periodically recording and uploading the running state of each module, and sending the working state of each component module in the signal processing link of the transmitter to a display module for display.
6. The transmitter-based intelligent health analysis and diagnosis method of claim 5, wherein the transmitter information processing link status and the operating status of each module in the display module are identified in different colors.
7. The transmitter-based intelligent health analysis and diagnosis method of claim 1, wherein the parameter indicator criteria employs a parameter segmentation threshold, and different parameter judgment criteria are set.
8. A transmitter-based intelligent health analysis and diagnosis system applied to the method of any one of claims 1 to 7, comprising:
the data sampling module is used for acquiring parameter data of each module in the transmitter;
the health analysis and diagnosis module is used for receiving the data sampled by the data sampling module, comprehensively analyzing the parameters of the whole transmitter according to the parameter index standard and reasoning the operation condition of each module of the transmitter;
the display module is used for displaying the running state of each module inside the transmitter in real time;
and the server is used for receiving and storing the data uploaded by the health analysis and diagnosis module.
9. The transmitter-based intelligent health analysis and diagnosis system of claim 8, further comprising a model building module,
the model building module is used for building a link construction model of the transmitter based on the signal processing link relation of each module in the transmitter, wherein the module in the transmitter comprises an exciter, a switcher, a distributor, power amplifier plug-in units, a synthesizer and a filter, the exciter, the switcher and the distributor are connected in sequence, the signal output end of the distributor is connected with the power amplifier plug-in units, the signal output end of each power amplifier plug-in unit is connected to the synthesizer, and the synthesizer is connected with the filter.
10. A computer-readable storage medium comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the transmitter-based intelligent health analysis and diagnosis method according to any one of claims 1 to 7.
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Application publication date: 20211130 |