Electricity utilization safety inspection system based on Internet of Things

Abstract

The invention discloses a power utilization safety inspection system based on the Internet of Things, which comprises a wireless communication module, a sensor module and a field execution module which are arranged on a power utilization field, and a data processing module, an early warning processing module and a user interaction module which are arranged in a far-end monitoring room, a monitoring manager sets a corresponding safety check instruction according to the actual situation of a power utilization site and issues the instruction to the power utilization site through the man-machine interaction interface, the site execution module automatically carries out real-time power utilization safety check parameter acquisition according to the issued instruction, and sends the parameter to a far-end monitoring room in real time through the wireless communication module for processing and analysis. Alarm information is sent in time when abnormity is found, so that all-weather and timely abnormity handling and potential safety hazard elimination in the monitoring period are realized, and normal and safe operation of each electric device is ensured; the system has the advantages of intelligent power consumption management, all-weather real-time detection, timely and effective early warning and warning, high resource utilization rate and high practicability.

Description

Technical Field

[0001] The present invention belongs to the technical field of power equipment operation and maintenance, and specifically relates to an electricity safety inspection system based on the Internet of Things. Background Art

[0002] With the deepening of power reform, power is increasingly closely connected with production and life. The stability of the power system and the safe operation of power equipment have far-reaching impacts on power companies and power users. It is often necessary to conduct regular or irregular power safety inspections to ensure that power companies can supply power safely and stably and that power users can use electricity safely and stably.

[0003] At present, in counties and districts, the safety inspection of power equipment still mainly relies on manual inspection, which has problems such as missed inspection, low efficiency, poor effect, inability to detect in real time around the clock, and inability to timely discover and warn of potential safety hazards. At the same time, in the peak production season (such as tobacco drying season, pepper drying season, tourism season, etc. in the power supply area) and in the school season (such as a large number of primary and secondary schools in the power supply area start school at the same time in autumn), a large number of personnel need to be dispatched for safety inspection work, which leads to problems such as large short-term workload, insufficient personnel, and inability to respond with high quality. Moreover, with the development of smart grids, the investment of smart devices, and the accumulation of a large amount of historical operation data, if manual inspection is still used, there will be problems such as waste of resources. In order to solve the above problems, it is necessary to develop an electricity safety inspection system based on the Internet of Things. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art and to provide an Internet of Things-based electricity safety inspection system that has intelligent electricity management, all-weather real-time detection, timely and effective early warning and alarm, high resource utilization, and strong practicality.

[0005] The object of the present invention is achieved as follows: an electricity safety inspection system based on the Internet of Things, including a sensor module, a field execution module, a data processing module, an early warning processing module, a user interaction module and a wireless communication module; The sensor module is set at the power consumption site to collect power safety inspection parameters of the power consumption equipment, including electrical parameters, temperature parameters, operating status parameters and other parameters, which are collected through corresponding sensors and pre-conditioned; The on-site execution module is arranged at the power consumption site and is used to receive and execute the power safety inspection instructions and early warning processing instructions issued by the remote monitoring station; The data processing module is arranged at the remote monitoring station, and is used to store, analyze and process the received data of the electric equipment, and uses big data analysis and artificial intelligence algorithms to judge the safety status of the electric equipment in real time, and send alarm information to the early warning processing module after judging an abnormality; The warning processing module is set at the remote monitoring station to respond to the warning information in real time, issue the on-site alarm and warning processing instructions in time, and send the short message to the user unit and responsible management personnel of the electrical equipment; The user interaction module is arranged at the remote monitoring station to provide a multi-level human-computer interaction interface, one of which is used to display the power safety inspection results of the electrical equipment, and the other is used to issue power safety inspection instructions and manual emergency intervention instructions to the monitoring management personnel; The wireless communication module is used for data transmission between the power consumption site and the remote monitoring station.

[0006] Furthermore, the electrical parameters include voltage, current, power and ground resistance, the temperature parameters include the equipment casing temperature and key parts temperature, the operating status parameters include fault codes and equipment start and stop status, and other parameters include vibration and noise.

[0007] Furthermore, the preconditioning includes amplification, filtering and analog-to-digital conversion of the collected signal.

[0008] Furthermore, the on-site execution module includes powering on and off the electrical equipment and the collection equipment and adjusting the working parameters of the electrical equipment.

[0009] Furthermore, the electricity safety inspection instructions are divided into off-season safety inspection instructions and peak season safety inspection instructions.

[0010] Furthermore, based on the historical electricity safety inspection parameters of the electrical equipment, big data analysis and artificial intelligence algorithms are used to build a safe operation model for the electrical equipment. Through its safe operation model, the safety status of the electrical equipment can be judged in real time.

[0011] Furthermore, the human-computer interaction interface is divided into three layers. The first layer is the entire inspection area, and each user unit in the entire inspection area is displayed as a whole on a map according to the geographical location. The second layer is the user unit, and all the electrical equipment and installation locations of the user unit are displayed as a whole on a map according to the equipment composition. The third layer is the electrical equipment, and the safety inspection status of the electrical equipment is displayed as a whole on a map according to the electricity safety inspection parameters.

[0012] Furthermore, the monitoring management personnel operate the first layer to issue electricity safety inspection instructions and manual emergency intervention instructions.

[0013] Due to the adoption of the above technical scheme, the beneficial effects of the present invention are as follows: the present invention adopts a sensor module, an on-site execution module, a data processing module, an early warning processing module, a user interaction module and a wireless communication module, which can remotely and in real time collect data, analyze data and detect potential safety hazards for power equipment, and can timely issue early warnings and alarms when potential safety hazards are found, which is conducive to the implementation of intelligent power management services; the present invention adopts an on-site execution module, which can provide personalized power services for different power consumption sites, ensure safe and stable power consumption while improving the quality of power services; the present invention adopts big data analysis and artificial intelligence algorithms to organically combine historical data and real-time data to improve data utilization efficiency; the present invention adopts a multi-level human-computer interaction interface to improve the practicality of the inspection system; in general, the present invention has the advantages of intelligent power management, all-weather real-time detection, timely and effective early warnings and alarms, high resource utilization, and strong practicality, thereby effectively ensuring the safe and stable operation of power systems and equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the system composition of the present invention. DETAILED DESCRIPTION

[0015] The Internet of Things uses various sensors to connect objects to the Internet, and conducts data interaction and communication according to certain rules, thereby realizing a network of intelligent identification, positioning, tracking, monitoring and management. Sensors can convert detected information into electrical signals, which are transmitted to the remote end for convenient data processing in the background, and then processed and analyzed through algorithms and software technologies to obtain detection results. It is widely used in different fields such as smart grid, smart energy, smart furniture, industrial Internet of Things, etc.

[0016] Electricity safety inspections are crucial to creating a safe electricity environment. Electricity safety inspections need to be conducted regularly, and any problems found must be rectified in a timely manner, providing decision-making support for the rectification.

[0017] Due to the aging, overload, short circuit and other reasons of electrical equipment, the problem of electricity safety will become more prominent with the passage of time. Therefore, it is very necessary to conduct regular or irregular safety inspections of electrical equipment.

[0018] The technical solution of the present invention is further specifically described below through embodiments and in conjunction with the accompanying drawings.

[0019] like Figure 1 As shown, the present invention provides an electricity safety inspection system based on the Internet of Things, including a sensor module, an on-site execution module, a data processing module, an early warning processing module, a user interaction module and a wireless communication module, which can complete real-time collection, analysis and processing of parameters, promptly discover anomalies in data, i.e., safety hazards, and promptly send early warnings and arrange abnormal processing in a timely manner.

[0020] The sensor module is set at the power consumption site to collect power safety inspection parameters of the power consumption equipment, including electrical parameters, temperature parameters, operating status parameters and other parameters, which are collected through the corresponding sensors and the collected parameters are pre-conditioned.

[0021] Electrical parameters include voltage, current, power and ground resistance. The voltage parameter is realized by voltage sensors, such as electromagnetic voltage sensors, Hall voltage sensors, etc., which convert high voltage into low voltage for measurement and detection. The current parameter is realized by current sensors, such as common Hall current sensors, shunts, etc. The power parameter is realized by power sensors, which are usually composed of voltage sensors and current sensors. The power value is obtained by measuring voltage and current and calculating. The ground resistance uses a special ground resistance tester to measure the resistance value of the grounding system.

[0022] Temperature parameters include the temperature of the equipment casing and the temperature of key parts. The temperature of the equipment casing can be measured with an infrared thermometer, and the temperature of key parts needs to be selected according to actual conditions. For example, the motor winding can be detected by an embedded thermal resistor or thermocouple, and the transformer core can be detected by a light temperature sensor.

[0023] The operating status parameters include fault codes and equipment start and stop status. The fault detection system of the intelligent device usually generates fault codes through sensors and controllers. The equipment start and stop status can be detected by proximity switches and photoelectric switches.

[0024] Other parameters include vibration and noise. Vibration is measured by vibration sensors. Common vibration sensors suitable for electrical equipment include accelerometers, velocity sensors, and displacement sensors, which can measure parameters such as the vibration amplitude and vibration frequency of the equipment. Noise is measured by noise sensors, which usually convert sound signals into electrical signals through microphones, and then measure and analyze the electrical signals.

[0025] Preconditioning includes amplification, filtering and analog-to-digital conversion of the collected signals. The electrical signals output from the sensor elements are generally weak and may contain noise. Therefore, the collected weak electrical signals need to be preconditioned to facilitate subsequent data transmission and data processing as well as data analysis and judgment.

[0026] The on-site execution module is set up at the power consumption site to receive and execute power safety inspection instructions and early warning processing instructions issued by the remote monitoring station.

[0027] The on-site execution module includes the power on and off of electrical equipment and data collection equipment, as well as the adjustment of the working parameters of the electrical equipment. The power on and off can usually be achieved by controlling the relay through electrical signals. The working parameter adjustment of the electrical equipment is performed by the early warning processing module based on the comparison between real-time data and historical big data. The adjustment variables are given, and the variables are received on-site and input into the intelligent electrical equipment.

[0028] Electricity safety inspection instructions are divided into off-season safety inspection instructions and peak season safety inspection instructions. Different safety inspection instructions can be personalized for the peak season and off-season when electricity consumption is very obvious at the site. During the off-season, the positioning inspection time can be extended and the inspection parameters can be adjusted according to actual conditions to reduce the safety inspection costs during the off-season.

[0029] The data processing module is set up in the remote monitoring station to store, analyze and process the received data of electrical equipment. It uses big data analysis and artificial intelligence algorithms to judge the safety status of electrical equipment in real time, and send alarm information to the early warning processing module after determining an abnormality.

[0030] Based on the historical electricity safety inspection parameters of the electrical equipment, big data analysis and artificial intelligence algorithms are used to build a safe operation model for the electrical equipment. Through its safe operation model, the safety status of the electrical equipment can be judged in real time.

[0031] The early warning processing module is set up in the remote monitoring station to respond to alarm information in real time, issue on-site alarm and early warning processing instructions in a timely manner, and copy them to the user unit and responsible management personnel of the electrical equipment in the form of short messages.

[0032] The user interaction module is set at the remote monitoring station to provide a multi-level human-computer interaction interface. One is to display the power safety inspection results of electrical equipment, and the other is to issue power safety inspection instructions and manual emergency intervention instructions to monitoring managers.

[0033] The wireless communication module is used for data transmission between the power consumption site and the remote monitoring station.

[0034] The human-computer interaction interface is divided into three layers. The first layer is the entire inspection area, which displays all the users in the entire inspection area on a map according to their geographical locations. The second layer is the users, which displays all the electrical equipment and installation locations of the users according to the equipment composition on a map. The third layer is the electrical equipment, which displays the safety inspection status of the electrical equipment according to the electricity safety inspection parameters on a map.

[0035] The monitoring management personnel issue electricity safety inspection instructions and manual emergency intervention instructions through the first layer of operations.

[0036] When the present invention is actually used, the monitoring management personnel sets the corresponding safety inspection instructions according to the actual situation of the power consumption site, and sends them to the power consumption site through the human-computer interaction interface. The on-site execution module automatically collects the power consumption safety inspection parameters according to the issued instructions, and sends them to the remote monitoring room in real time through the wireless communication module for processing and analysis. When an abnormality is found, an alarm message is sent in time, thereby realizing timely response to abnormalities and elimination of safety hazards around the clock during the monitoring period, and ensuring the normal and safe operation of various power-consuming equipment. During use, the monitoring management personnel can adjust and issue different safety inspection instructions according to the seasonal characteristics of the power consumption site.

[0037] 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 above embodiments, those skilled in the art should understand that the specific implementation modes of the present invention can still be modified or replaced by equivalents, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be included in the scope of the claims of the present invention.

Claims

1. An electricity safety inspection system based on the Internet of Things, characterized by: It includes a sensor module, a field execution module, a data processing module, an early warning processing module, a user interaction module and a wireless communication module; The sensor module is set at the power consumption site to collect power safety inspection parameters of the power consumption equipment, including electrical parameters, temperature parameters, operating status parameters and other parameters, which are collected through corresponding sensors and pre-conditioned; The on-site execution module is arranged at the power consumption site and is used to receive and execute the power safety inspection instructions and early warning processing instructions issued by the remote monitoring station; The data processing module is arranged at the remote monitoring station, and is used to store, analyze and process the received data of the electric equipment, and uses big data analysis and artificial intelligence algorithms to judge the safety status of the electric equipment in real time, and send alarm information to the early warning processing module after judging an abnormality; The warning processing module is set at the remote monitoring station to respond to the warning information in real time, issue the on-site alarm and warning processing instructions in time, and send the short message to the user unit and responsible management personnel of the electrical equipment; The user interaction module is arranged at the remote monitoring station to provide a multi-level human-computer interaction interface, one of which is used to display the power safety inspection results of the electrical equipment, and the other is used to issue power safety inspection instructions and manual emergency intervention instructions to the monitoring management personnel; The wireless communication module is used for data transmission between the power consumption site and the remote monitoring station.

2. The power safety inspection system based on the Internet of Things according to claim 1 is characterized in that: The electrical parameters include voltage, current, power and ground resistance, the temperature parameters include the equipment casing temperature and key parts temperature, the operating status parameters include fault code and equipment start and stop status, and other parameters include vibration and noise.

3. The power safety inspection system based on the Internet of Things according to claim 1 is characterized in that: The pre-conditioning includes amplification, filtering and analog-to-digital conversion of the collected signal.

4. The power safety inspection system based on the Internet of Things according to claim 1 is characterized in that: The on-site execution module includes power on and off of electrical equipment and acquisition equipment and adjustment of working parameters of the electrical equipment.

5. The power safety inspection system based on the Internet of Things according to claim 1 is characterized in that: The electricity safety inspection instructions are divided into off-season safety inspection instructions and peak season safety inspection instructions.

6. The power safety inspection system based on the Internet of Things according to claim 1 is characterized in that: Based on the historical electricity safety inspection parameters of the electrical equipment, big data analysis and artificial intelligence algorithms are used to build a safe operation model for the electrical equipment. Through its safe operation model, the safety status of the electrical equipment can be judged in real time.

7. The power safety inspection system based on the Internet of Things according to claim 1 is characterized in that: The human-computer interaction interface is divided into three layers. The first layer is the entire inspection area, which displays all the user units in the entire inspection area on a map according to their geographical locations. The second layer is the user units, which displays all the electrical equipment and installation locations of the user units on a map according to the equipment composition. The third layer is the electrical equipment, which displays the safety inspection status of the electrical equipment on a map according to the electricity safety inspection parameters.

8. The power safety inspection system based on the Internet of Things according to claim 7 is characterized in that: The monitoring management personnel issue electricity safety inspection instructions and manual emergency intervention instructions through the first layer of operations.

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