Marketing data acquisition method based on high-altitude no-signal area

Abstract

The invention relates to the technical field of marketing data acquisition, in particular to a marketing data acquisition method based on a high-altitude no-signal area, which comprises data acquisition and transmission, data analysis and processing, operation and maintenance management and decision support and unmanned aerial vehicle and inspection. According to the marketing data acquisition method based on the high-altitude no-signal region, a digital monitoring method is adopted, and the method has a remarkable beneficial effect of improving the fault early warning capability in operation and maintenance of fuses in high and cold regions. By monitoring various operating parameters (such as temperature, current and the like) of the fuse in real time, the system can identify potential fault risks as soon as possible. When the monitored data exceed a set safety threshold value, the system can automatically give an alarm to remind operation and maintenance personnel to take corresponding maintenance measures. The rapid reaction mechanism not only can effectively prevent the occurrence of equipment faults, but also can reduce the frequency of power failure accidents, thereby reducing the influence on users and improving the power supply reliability.

Description

Technical Field

[0001] The present invention relates to the technical field of marketing data collection, and in particular to a marketing data collection method based on high altitude signal-free areas. Background Art

[0002] The power system in the high-cold areas faces major challenges in equipment operation due to its special environment and extreme climatic conditions. As an important protective device in the power system, the drop-out fuse (i.e., fuse) plays a key role in preventing equipment overload and short circuit failures. In high-cold areas, factors such as low temperature, ice and snow, and humidity can easily lead to a decline in fuse performance, and may even cause more serious power failures, affecting the stability and safety of power supply. Therefore, real-time monitoring and maintenance of fuses is particularly important.

[0003] 1. Traditional operation and maintenance challenges. In high-cold environments, traditional operation and maintenance methods mainly rely on manual inspections, regular maintenance, and on-site inspections. This method has the following problems: Lack of real-time performance: Manual inspections rely on regular inspections by operation and maintenance personnel and cannot provide real-time equipment status information, resulting in potential faults not being discovered in a timely manner. Environmental impact: Under harsh climatic conditions, the frequency and accuracy of manual inspections will be limited, which may lead to misjudgment of equipment status. Inefficiency: Manual inspections are not only time-consuming and labor-intensive, but may also cause waste of man-hours due to factors such as weather, increasing operation and maintenance costs.

[0004] 2. The proposal of digital monitoring. In order to cope with the various challenges of fuse operation and maintenance in high-cold areas, digital monitoring and operation and maintenance methods have emerged. Through the application of high-tech, this method has greatly improved the monitoring efficiency and accuracy of the equipment. The digital monitoring system mainly relies on the following technologies and equipment: Sensor technology: By installing a variety of sensors on the fuse, important parameters such as temperature, humidity, current and vibration can be monitored in real time. These data can not only help to timely identify abnormal conditions in the operation of the equipment, but also reflect the impact of the environment on the equipment. Wireless communication and edge computing: Combined with wireless communication technologies such as LoRa and NB-IoT, the collected data is transmitted to the cloud or local server in real time. At the same time, setting up edge computing nodes can perform preliminary processing at the data collection site to avoid delays and improve the efficiency of data transmission. Data analysis and machine learning: Through historical data analysis and machine learning algorithms, the potential failure modes of the equipment can be identified, thereby improving the ability to predict and diagnose faults. The real-time monitoring platform displays various parameters of the fuse through a visual dashboard and can automatically issue warnings based on threshold settings.

[0005] 3. Integrating new technologies, digital monitoring methods not only provide new solutions for data collection and processing, but also further improve inspection efficiency through new technologies such as drones. The introduction of drones enables regular inspections in high altitude and hard-to-reach areas. Combined with image recognition technology, it can automatically analyze the status of equipment and promptly detect appearance defects or snow and ice coverage problems.

[0006] 4. Emergency response mechanism and training. In addition, the emergency response mechanism equipped with the digital monitoring system and regular training of operation and maintenance personnel have further improved the response capabilities of the operation and maintenance team. When the operation and maintenance personnel find abnormal conditions, they can take measures quickly to reduce the risk of accidents. These digital strategies not only improve the operational safety of the equipment, but also form a complete equipment life cycle management system, providing strong support for the long-term operation and maintenance of power companies. Summary of the invention

[0007] The purpose of the present invention is to provide a marketing data collection method based on high-altitude signal-free areas to solve the problems raised in the above-mentioned background technology.

[0008] To achieve the above object, the present invention provides the following technical solution: a method for collecting marketing data in high-altitude signal-free areas, comprising the following steps:

[0009] S1: Data collection and transmission

[0010] Sensor Configuration:

[0011] Install a variety of sensors on the fuse, including temperature sensors, humidity sensors, current sensors and vibration sensors, to monitor the working status of the fuse in real time;

[0012] Use cold-resistant materials such as fiber optic sensors to ensure reliable operation in low-temperature environments;

[0013] Data upload, setting up edge computing nodes, performing preliminary data processing and analysis at the data collection site, and improving data transmission efficiency;

[0014] S2: Data analysis and processing

[0015] Real-time monitoring:

[0016] Build a monitoring platform to display real-time status data of fuses through a visual dashboard, including key parameters such as temperature, current, and humidity;

[0017] Automatically identify abnormal status of equipment based on threshold settings to ensure timely warning;

[0018] Fault prediction and diagnosis: develop fault diagnosis models to infer possible fault types based on real-time data and provide a basis for operation and maintenance decisions;

[0019] S3: Operation and maintenance management and decision support

[0020] Intelligent operation and maintenance scheduling:

[0021] Based on monitoring data, optimize the inspection and maintenance plans of operation and maintenance personnel, reduce unnecessary on-site inspections, and improve operation and maintenance efficiency;

[0022] Implement dynamic maintenance strategies to avoid unplanned equipment downtime and losses;

[0023] Digital file management, using big data analysis to evaluate the performance of different types of fuses, providing a basis for future equipment updates and purchases;

[0024] S4: Drones and inspections

[0025] Combined with drone inspections and image recognition technology, the images taken by drones can be analyzed to automatically detect equipment defects and improve inspection efficiency;

[0026] S5: Emergency Response and Training

[0027] Rapid response mechanism, personnel training, regular digital monitoring technology training for operation and maintenance personnel to enhance their understanding and application capabilities of new technologies.

[0028] Preferably, in S1, wireless communication technology is used to transmit the collected data in real time to a cloud data center or a local server.

[0029] Preferably, data analysis and machine learning algorithms are used in S2 to analyze historical operation data, identify potential failure modes of equipment, and improve failure prediction capabilities.

[0030] Preferably, S3 creates a digital file for each fuse to record operating data, maintenance history and fault handling, forming a complete equipment life cycle management system.

[0031] Preferably, in S4, drones are used to conduct regular inspections at high altitudes and inaccessible areas to record the appearance and ice and snow coverage of the fuses.

[0032] Preferably, in S5, an emergency response mechanism is set up on the monitoring platform. Once an abnormal situation is found, an alarm is automatically issued and response suggestions are given to ensure that the operation and maintenance personnel can take measures in a short time.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. This marketing data collection method based on high-altitude signal-free areas uses a digital monitoring method. A significant beneficial effect in the operation and maintenance of fuses in high-cold areas is the improvement of fault warning capabilities. By real-time monitoring of various operating parameters of the fuse (such as temperature, current, etc.), the system can identify potential fault risks early. When the monitoring data exceeds the set safety threshold, the system will automatically issue an alarm to remind the operation and maintenance personnel to take corresponding maintenance measures. This rapid response mechanism can not only effectively prevent the occurrence of equipment failures, but also reduce the frequency of power outages, thereby reducing the impact on users and improving power supply reliability.

[0035] 2. This marketing data collection method based on high-altitude and signal-free areas can also provide a basis for the resource allocation of the operation and maintenance team through timely fault warnings, making maintenance work more efficient and orderly. This management model significantly improves the overall stability and safety of the power system in high-altitude and cold areas. With the help of modern scientific and technological means, it improves the monitoring and maintenance efficiency of equipment, optimizes the operation and maintenance decision-making process, and lays a solid foundation for the safe and stable operation of the power system.

[0036] 3. This marketing data collection method based on high-altitude signal-free areas combines data collection, analysis, remote monitoring and intelligent scheduling technologies, which can effectively improve the operation safety and operation and maintenance efficiency of equipment. Through this method, power companies can not only improve real-time control of equipment status, but also reduce operation and maintenance costs and ensure the reliability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0038] Figure 1 This is a flow chart of marketing data collection of the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0040] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like 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 an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0041] See also Figure 1 , the present invention provides a technical solution:

[0042] A marketing data collection method based on high-altitude signal-free areas. Drop-out fuses (i.e. fuses) in high-cold areas play a key protective role in the power system. Due to the harsh environment in high-cold areas, equipment operation faces severe challenges. Therefore, it is particularly important to adopt digital monitoring and operation and maintenance methods.

[0043] The following steps are involved:

[0044] S1: Data collection and transmission

[0045] Sensor Configuration:

[0046] Install a variety of sensors on the fuse, including temperature sensors, humidity sensors, current sensors and vibration sensors, to monitor the working status of the fuse in real time;

[0047] Use cold-resistant materials such as fiber optic sensors to ensure reliable operation in low-temperature environments;

[0048] Data upload, setting up edge computing nodes, performing preliminary data processing and analysis at the data collection site, and improving data transmission efficiency;

[0049] S2: Data analysis and processing

[0050] Real-time monitoring:

[0051] Build a monitoring platform to display real-time status data of fuses through a visual dashboard, including key parameters such as temperature, current, and humidity;

[0052] Automatically identify abnormal status of equipment based on threshold settings to ensure timely warning;

[0053] Fault prediction and diagnosis: develop fault diagnosis models to infer possible fault types based on real-time data and provide a basis for operation and maintenance decisions;

[0054] (1) Obtaining network parameters of the edge computing environment, the network parameters including:

[0055] The number of edge devices k;

[0056] The number of edge devices involved in the computation, i;

[0057] Edge device unit consumption c j , where j is 1...k;

[0058] Calculate the task size m;

[0059] The number of random coding blocks generated by the encoding is r;

[0060] Original data block A;

[0061] Input data x;

[0062] User's computing task A x ;

[0063] (2) Based on the parameters obtained in step (1), the task allocation method is used to obtain the set of edge devices participating in the calculation and the number of random coding blocks that need to be added r

[0064] r traverse make

[0065]

[0066] Output the values ​​of r and i when c takes the minimum value;

[0067] (3) The cloud generates a corresponding number of data blocks based on the obtained solution, generates a coefficient encoding matrix, then encodes the original calculation data, and finally sends the encoded data to the edge device participating in the calculation;

[0068] (4) After receiving the user's input data, the edge device involved in the calculation calculates the input data and the stored encoded data, and sends the intermediate calculation results to the user;

[0069] (5) The user receives all the intermediate results and decodes them using the coefficient encoding matrix generated in step (3), thereby achieving data processing.

[0070] The method of step (3) is specifically as follows:

[0071] Let the t×t identity matrix be represented as E t , the p×q-dimensional zero matrix is ​​represented by O p,q , based on r and i obtained in step (2), construct an m×r dimensional matrix E m,r :

[0072]

[0073] in Represented by the matrix Er The matrix composed of row vectors from the first row to the m-(i-2)rth row, E m,r The first (i-2)r rows of consist of i-2 identity matrices;

[0074] Construct a coefficient matrix B of (m+r)×(m+r) dimensions:

[0075]

[0076] make

[0077] in,

[0078]

[0079] Divide the original data block A into m parts, expressed as {A1...A m} and the R random code blocks {R1...R r}Combined into The cloud uses the coefficient matrix B to encode T and converts the encoded B j T is migrated to the jth edge device.

[0080] S3: Operation and maintenance management and decision support

[0081] Intelligent operation and maintenance scheduling:

[0082] Based on monitoring data, optimize the inspection and maintenance plans of operation and maintenance personnel, reduce unnecessary on-site inspections, and improve operation and maintenance efficiency;

[0083] Implement dynamic maintenance strategies to avoid unplanned equipment downtime and losses;

[0084] Digital file management, using big data analysis to evaluate the performance of different types of fuses, providing a basis for future equipment updates and purchases;

[0085] S4: Drones and inspections

[0086] Combined with drone inspections and image recognition technology, the images taken by drones can be analyzed to automatically detect equipment defects and improve inspection efficiency;

[0087] S5: Emergency Response and Training

[0088] Rapid response mechanism, personnel training, regular digital monitoring technology training for operation and maintenance personnel to enhance their understanding and application capabilities of new technologies.

[0089] In S1, wireless communication technology is used to transmit the collected data to the cloud data center or local server in real time. In S2, data analysis and machine learning algorithms are used to analyze historical operation data, identify potential failure modes of equipment, and improve fault prediction capabilities. In S3, a digital file is established for each fuse to record operation data, maintenance history and fault handling, forming a complete equipment life cycle management system. In S4, drones are used to conduct regular inspections in high-altitude and hard-to-reach areas to record the appearance of fuses and ice and snow coverage. In S5, an emergency response mechanism is set up on the monitoring platform. Once an abnormal situation is found, an alarm is automatically issued and response suggestions are given to ensure that operation and maintenance personnel can take measures in a short time.

[0090] The digital monitoring and operation method of drop-out fuses in high-cold areas combines data collection, analysis, remote monitoring and intelligent dispatching technologies to effectively improve the operational safety and operation efficiency of equipment. Through this method, power companies can not only improve real-time control of equipment status, but also reduce operation and maintenance costs and ensure the reliability of the power system.

[0091] The digital monitoring method of fuses in high-altitude and cold regions, with the help of modern scientific and technological means, has improved the monitoring and maintenance efficiency of equipment, optimized the operation and maintenance decision-making process, and laid a solid foundation for the safe and stable operation of the power system.

[0092] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0093] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A marketing data collection method based on high altitude signal-free areas, characterized in that: The following steps are involved: S1: Data collection and transmission Sensor Configuration: Install a variety of sensors on the fuse, including temperature sensors, humidity sensors, current sensors and vibration sensors, to monitor the working status of the fuse in real time; Use cold-resistant materials such as fiber optic sensors to ensure reliable operation in low-temperature environments; Data upload, setting up edge computing nodes, performing preliminary data processing and analysis at the data collection site, and improving data transmission efficiency; S2: Data analysis and processing Real-time monitoring: Build a monitoring platform to display real-time status data of fuses through a visual dashboard, including key parameters such as temperature, current, and humidity; Automatically identify abnormal status of equipment based on threshold settings to ensure timely warning; Fault prediction and diagnosis: develop fault diagnosis models to infer possible fault types based on real-time data and provide a basis for operation and maintenance decisions; S3: Operation and maintenance management and decision support Intelligent operation and maintenance scheduling: Based on monitoring data, optimize the inspection and maintenance plans of operation and maintenance personnel, reduce unnecessary on-site inspections, and improve operation and maintenance efficiency; Implement dynamic maintenance strategies to avoid unplanned equipment downtime and losses; Digital file management, using big data analysis to evaluate the performance of different types of fuses, providing a basis for future equipment updates and purchases; S4: Drones and inspections Combined with drone inspections and image recognition technology, the images taken by drones can be analyzed to automatically detect equipment defects and improve inspection efficiency; S5: Emergency Response and Training Rapid response mechanism, personnel training, regular digital monitoring technology training for operation and maintenance personnel to enhance their understanding and application capabilities of new technologies.

2. The method for collecting marketing data in high altitude and signal-free areas according to claim 1, characterized in that: In S1, wireless communication technology is used to transmit the collected data in real time to a cloud data center or a local server.

3. The method for collecting marketing data in high altitude and signal-free areas according to claim 1, characterized in that: In the S2, data analysis and machine learning algorithms are used to analyze historical operation data, identify potential failure modes of equipment, and improve failure prediction capabilities.

4. The method for collecting marketing data in high altitude and signal-free areas according to claim 1, characterized in that: In the S3, a digital file is created for each fuse to record operation data, maintenance history and fault handling, forming a complete equipment life cycle management system.

5. The method for collecting marketing data in high altitude and signal-free areas according to claim 1, characterized in that: In the S4, drones are used to conduct regular inspections of high altitudes and hard-to-reach areas to record the appearance and ice and snow coverage of fuses.

6. The method for collecting marketing data in high altitude and signal-free areas according to claim 1, characterized in that: In the S5, an emergency response mechanism is set up on the monitoring platform. Once an abnormal situation is found, an alarm is automatically issued and response suggestions are given to ensure that the operation and maintenance personnel can take measures in a short time.

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