Power grounding wire safety control method and system based on Internet of Things
Through the Internet of Things-based power grounding safety control methods and systems, the connection status of the power grounding wire is monitored and analyzed in real time, and the problems of inaccurate information in traditional systems are solved, and the safety and efficiency of power grid operations are improved. sex.
Patent Information
- Application Number
- CN202410699044.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-31
- Publication Date
- 2025-02-14
- Estimated Expiration
- 2044-05-31
AI Technical Summary
Traditional grid operation grounding control systems have problems such as in real-time information and inaccurate control, which is difficult to meet the current grid operation requirements, especially when the quality problems of the grounding wire (such as breakage and aging) cannot be identified, which increases the risk of electric shock. .
Adopt the safety control method and system of the power grounding wire based on the Internet of Things. By obtaining the operating status of each power equipment, different analysis strategies are adopted for the power grounding wire under different operating status, to determine whether the grounding wire is correctly attached, and to analyze the equipment. When pulling forces on both sides of the power grounding wire, timely discover whether the grounding wire is loose, violently vibrating or other forms of hooking abnormalities.
Real-time monitoring and control of the power grounding wire is realized, abnormal grounding wire hooking is discovered and corrected in a timely manner, safety accidents caused by poor grounding wire contact are prevented, and the incidence of safety accidents is reduced.
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Figure CN118521430B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power grounding wire safety management and control, and specifically to a power grounding wire safety management and control method and system based on the Internet of Things. Background Art
[0002] With the rapid development of modern society, the demand for electricity is increasing, and the safety and efficiency of power grid operations have become important considerations for the development of the power industry. In the power system, grounding wires are an important tool to ensure the safety of workers, and their installation and removal are key maintenance operations. However, the traditional power grid operation grounding control system has problems such as unreal-time information and inaccurate control, which makes it difficult to meet the requirements of current power grid operation. In order to improve the controllability, controllability and controllability of power grounding wire management, the introduction of Internet of Things technology has brought new solutions to the power industry.
[0003] Internet of Things technology refers to a network that connects any object to the Internet through information sensing devices and in accordance with agreed protocols to exchange information and communicate, so as to achieve intelligent identification, positioning, tracking, monitoring and management. In the power industry, Internet of Things technology can organically connect various links such as power equipment, operators, and management systems to achieve real-time data collection, transmission and processing, thereby improving the safety and efficiency of power grid operations.
[0004] In the Chinese invention application with application publication number CN113109736A, a portable short-circuit grounding wire monitoring system and monitoring method based on blockchain are disclosed, including a grounding wire data acquisition system, a blockchain system and a management system, both of which are communicatively connected to the blockchain system; the grounding wire data acquisition system is used to collect usage status data of the portable short-circuit grounding wire; the blockchain system is used to encrypt and consensus-confirm the usage status data acquisition encryption algorithm and consensus algorithm to form blocks, and add the formed blocks to the blockchain; the management system is used to monitor and display the usage status data stored in the blockchain system.
[0005] In the above invention application, the usage status of the grounding wire is determined by analyzing the geographical location data of the grounding wire, the pressure data between the grounding wire fastener, the distance from the protective plate to the ground, the current angle data of the grounding wire drill rod and the depth data of the ground drill into the ground. However, it can only be judged whether the grounding wire is hung. If the grounding wire is damaged or has poor contact, for example, the grounding wire itself has quality problems such as breakage, aging, etc. that cannot be identified, when the equipment has leakage or other electrical failures, poor grounding will not be able to transmit the current to the earth in time, thereby increasing the risk of electric shock.
[0006] To this end, the present invention provides a power grounding wire safety management and control method and system based on the Internet of Things. Summary of the invention
[0007] 1. Technical issues to be resolved
[0008] In view of the deficiencies in the prior art, the present invention provides a method and system for the safe management of power grounding wires based on the Internet of Things. The present invention obtains the operating status of each power equipment and adopts different analysis strategies for power grounding wires in different operating states. It can determine whether the grounding wire is correctly connected before the equipment is operated, and analyze the tension on both sides of the equipment power grounding wire when the equipment is running. It can promptly detect whether the grounding wire is loose, vibrates violently, or has other forms of connection abnormalities, thereby preventing safety accidents caused by poor contact of the grounding wire. At the same time, the connection abnormality frequency Pf and functional abnormality frequency Gf of each power grounding wire are analyzed, and corresponding early warning processing strategies are adopted. The risks of the power grounding wire can be quantitatively evaluated. For grounding wires with frequent abnormalities, targeted measures can be taken to reduce the possibility of failures, thereby solving the technical problems recorded in the background technology.
[0009] (II) Technical solution
[0010] To achieve the above objectives, the present invention is implemented through the following technical solutions: a power grounding wire safety management and control method based on the Internet of Things, comprising the following steps:
[0011] When the non-operating state device requests to switch to the operating state, it detects the tension on both sides of the power grounding wire and the installation position of the grounding terminal, determines whether the power grounding wire is normally connected, and issues an abnormal warning of the non-operating connection of the grounding wire;
[0012] Analyze the tension on both sides of the power grounding wire of the running equipment to obtain the left running tension Zx i , right running force Ux i , Left running tension fluctuation rate Zb i And the right running tension fluctuation rate Ub i , calculate the abnormal running tension index Ly i , and send out abnormal warning of grounding line operation and hooking;
[0013] Get the abnormal warning time Gy of each non-operational connection of each power grounding line a And each operation hook abnormal warning time Jg b , calculate and obtain the non-operational connection abnormal frequency Pf and the operation connection abnormal frequency Gf of each power grounding line, and adopt corresponding early warning strategies;
[0014] After receiving the maintenance warning of the power grounding wire, the corresponding grounding wire is removed and installed into the detection circuit for functional detection, and the power data of the power grounding wire is collected to obtain the operating current Dl i , operating voltage Dy i , operating temperature Dwi 、Operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i , calculate and obtain the abnormal power index Yd i , and issue an abnormal grounding wire function warning.
[0015] Furthermore, the preset tension threshold is the average value of the tension data detected by all tension and compression sensors when the device just starts to run.
[0016] Furthermore, when the power equipment is in operation, the tension and compression sensors installed at both ends of the power grounding wire of the equipment are started to periodically detect the tension on both sides of the power grounding wire, which is recorded as the left operating tension Zx i and right running tension Ux i After linear normalization, the left running tension fluctuation rate Zb is calculated i and the right running pull fluctuation rate Ub i :
[0017]
[0018] Wherein, i represents the detection time sequence number of the tension data, i=1, 2, ..., m, and when m is not greater than 10, the fluctuation rate is not calculated.
[0019] Further, obtain the left running pull Zx i , right running force Ux i , Left running tension fluctuation rate Zb i And the right running tension fluctuation rate Ub i After linear normalization, the abnormal running tension index Ly is calculated. i :
[0020]
[0021] Among them, Zx b is the mean of all historical left running tension data, Ux b is the mean of all historical right running tension data, Zb b is the mean of all historical left-run pull volatility data, Ub b It is the mean of all historical right-running pull volatility data.
[0022] Furthermore, the abnormal running tension index Ly is obtained. i , when the running tension abnormality index Ly i When the operating tension exceeds the normal range, an abnormal grounding wire operation hook warning is issued;
[0023] Among them, the normal range of operating tension is (0.8Ly b , 1.2Ly b ), Ly b It is the mean of all historical running tensile anomaly index data.
[0024] Furthermore, based on the Internet of Things, the abnormal warning time Gy of each non-operational connection of each power grounding line is obtained. a And each operation hook abnormal warning time Jg b , calculate and obtain the non-operating connection abnormal frequency Pf and the operating connection abnormal frequency Gf of each power grounding line:
[0025]
[0026] Among them, a represents the time sequence number of each non-operational attachment abnormal warning time, and b represents the time sequence number of each operation attachment abnormal warning time.
[0027] Furthermore, after receiving the maintenance warning of the power grounding wire, the corresponding grounding wire is removed and installed in the detection circuit for functional detection, and the power data of the power grounding wire is collected through the current sensor, voltage sensor and temperature sensor, which is recorded as the operating current Dl i , operating voltage Dy i And operating temperature Dw i After linear normalization, the operating current fluctuation rate Bl is calculated i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i :
[0028]
[0029] The corresponding operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i The calculation formula is as above.
[0030] Further, the operating current Dl is obtained i , operating voltage Dy i , operating temperature Dw i 、Operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i After linear normalization, the operating power abnormality index Yd is calculated i :
[0031]
[0032] Among them, Dlb is the mean value of all historical operating current data, Dy b is the mean value of all historical operating voltage data, Dw b is the mean of all historical operating temperature data, Bl b is the mean of all historical operating current fluctuation rate data, By b is the mean of all historical operating voltage fluctuation rate data, Bw b It is the mean of all historical operating temperature fluctuation data.
[0033] Furthermore, the operating power abnormality index Yd is obtained i , when the operating power abnormality index Yd i When the operating power exceeds the normal range, an abnormal grounding wire function warning is issued and a new power grounding wire is replaced for the power equipment.
[0034] When the operating power abnormality index Yd i When the normal operating power range is not exceeded, install the power grounding wire back to the original equipment and check whether both ends of the grounding wire are firmly connected.
[0035] Among them, the normal range of operating power is (0.8Yd b , 1.2Yd b ), Yd b It is the mean of all operating power anomaly index data.
[0036] The power grounding wire safety management and control system based on the Internet of Things includes:
[0037] The equipment startup warning module includes a tension analysis unit and a position analysis unit. The tension analysis unit is used to detect the tension on both sides of the power grounding wire when the non-operating state device requests to switch to the operating state. When the tension on at least one side of the two sides is less than a preset tension threshold, an abnormal grounding wire non-operating connection warning is issued. The position analysis unit is used to determine the installation position of the grounding terminal, judge whether the installation position of the power grounding wire is accurate, and issue an abnormal grounding wire non-operating connection warning.
[0038] Grounding wire running tension analysis module, analyzes the tension on both sides of the equipment power grounding wire, and obtains the left running tension Zx i , right running force Ux i , Left running tension fluctuation rate Zb i And the right running tension fluctuation rate Ub i , calculate the abnormal running tension index Ly i , and issue an abnormal warning of ground wire operation and connection.
[0039] Frequency analysis module, obtains the abnormal warning time Gy of each non-operational connection of each power grounding line aAnd each operation hook abnormal warning time Jg b , calculate and obtain the non-operating connection abnormal frequency Pf and the operating connection abnormal frequency Gf of each power grounding line.
[0040] The hook-up prompt module obtains the non-operation hook-up abnormal frequency Pf of each power grounding line, marks the power grounding line whose non-operation hook-up abnormal frequency Pf is lower than the average of the non-operation hook-up abnormal frequencies of all power grounding lines as a non-operation hook-up abnormality, and sends a hook-up power grounding line prompt to the corresponding power equipment before its corresponding power equipment starts to operate.
[0041] The maintenance warning module obtains the installation and maintenance records of each power grounding wire based on the Internet of Things, extracts the real-time usage time of each power grounding wire, and compares it with the operation and connection abnormal frequency Gf of each power grounding wire. When the real-time usage time of each power grounding wire exceeds the operation and connection abnormal frequency Gf, a maintenance warning for the corresponding power grounding wire is issued.
[0042] The grounding wire operation power analysis module, after receiving the maintenance warning of the power grounding wire, removes the corresponding grounding wire and installs it into the detection circuit for functional detection, collects the power data of the power grounding wire, and obtains the operating current Dl i , operating voltage Dy i , operating temperature Dw i 、Operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i , calculate and obtain the abnormal power index Yd i , and issue an abnormal grounding wire function warning.
[0043] (III) Beneficial effects
[0044] The present invention provides a power grounding wire safety management and control method and system based on the Internet of Things, which has the following beneficial effects:
[0045] 1. When the non-operating state equipment requests to switch to the operating state, the tension on both sides of the power grounding wire and the installation position of the grounding terminal are detected to determine whether the power grounding wire is normally connected, and an abnormal warning of the non-operating connection of the grounding wire is issued to the outside, so as to timely discover and correct the problem and prevent electric shock accidents.
[0046] 2. Analyze the tension on both sides of the power grounding wire of the operating equipment to obtain the left operating tension Zx i , right running force Ux i , Left running tension fluctuation rate Zb i And the right running tension fluctuation rate Ub i , calculate the abnormal running tension index Ly i, an abnormal grounding wire operation hook-up warning is issued to the outside, which can promptly detect whether the grounding wire is loose, vibrating violently, or other forms of hook-up abnormalities, thereby preventing safety accidents caused by poor grounding wire contact.
[0047] 3. Based on the Internet of Things, the installation and maintenance records of each power grounding wire are obtained, the real-time usage time of each power grounding wire is extracted, and compared with the operation and connection abnormal frequency Gf of each power grounding wire. When the real-time usage time of each power grounding wire exceeds the operation and connection abnormal frequency Gf, a maintenance warning for the corresponding power grounding wire is issued.
[0048] 4. After receiving the maintenance warning of the power grounding wire, remove the corresponding grounding wire and install it into the detection circuit for functional detection, collect the power data of the power grounding wire, and obtain the operating current Dl i , operating voltage Dy i , operating temperature Dw i 、Operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i , calculate and obtain the abnormal power index Yd i , and issue an early warning of abnormal grounding wire function. The abnormal function of the power grounding wire may cause safety problems such as circuit short circuit and equipment damage. By timely discovering and handling these problems, the safe operation of the power system can be guaranteed and the occurrence rate of safety accidents can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] Figure 1 It is a flow chart of a method for safely controlling power grounding wires based on the Internet of Things of the present invention;
[0050] Figure 2 It is a structural schematic diagram of the power grounding wire safety management and control system based on the Internet of Things of the present invention. DETAILED DESCRIPTION
[0051] 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.
[0052] See also Figure 1 The present invention provides a power grounding wire safety management and control method based on the Internet of Things, comprising the following steps:
[0053] Step 1: When the non-operating state device requests to switch to the operating state, the tension on both sides of the power grounding wire and the installation position of the grounding terminal are detected to determine whether the power grounding wire is normally connected, and an abnormal warning of the non-operating connection of the grounding wire is issued.
[0054] The step 1 includes the following contents:
[0055] Step 101, based on the Internet of Things, the operating status of each power equipment is obtained. When the non-operating state equipment requests to switch to the operating state, the tension and compression sensors installed at both ends of the equipment's power grounding wire are immediately started to detect the tension on both sides of the power grounding wire. When at least one of the tensions on both sides is less than a preset tension threshold, an abnormal grounding wire non-operating connection warning is issued.
[0056] The preset tension threshold is the average value of the tension data detected by all tension and compression sensors when the equipment starts to run.
[0057] Some equipment manufacturers provide dedicated software or platforms to monitor and manage the operating status of equipment. These software or platforms usually have an intuitive user interface and powerful functions to help you easily view and manage the operating status of the equipment.
[0058] Step 102: When the non-operating state device requests to switch to the operating state, the position chip installed at the grounding end of the power grounding wire is started to determine the installation position of the grounding end. After comparing it with the grounding pile position information stored in the Internet of Things system, the grounding pile to which the power grounding wire is connected is determined, and whether the installation position of the power grounding wire is accurate is judged, and an abnormal warning of non-operating connection of the grounding wire is issued.
[0059] It should be noted that the accuracy of the installation position of the power grounding wire is determined based on the allowable installation range of the grounding piles for each grounding wire stored in the Internet of Things. For example, power grounding wire No. 1 is allowed to be installed on grounding piles No. 1, 2 or 3. The position information comparison result shows that the grounding end is located at grounding pile No. 4. At this time, the grounding position of power grounding wire No. 1 is inaccurate, and an abnormal warning of non-operational connection of the grounding wire is issued.
[0060] When using, combine the contents in steps 101 and 102:
[0061] When a non-operating device requests to switch to an operating state, the tension on both sides of the power grounding wire and the installation position of the grounding terminal are detected to determine whether the power grounding wire is normally connected, and an abnormal warning of non-operating connection of the grounding wire is issued to the outside, so as to timely discover and correct problems and prevent electric shock accidents.
[0062] Step 2: Analyze the tension on both sides of the power grounding wire of the running equipment to obtain the left running tension Zx i , right running force Ux i , Left running tension fluctuation rate Zbi And the right running tension fluctuation rate Ub i , calculate the abnormal running tension index Ly i , and issue an abnormal warning of ground wire operation and connection.
[0063] The step 2 includes the following contents:
[0064] Step 201: When the power equipment is in operation, the tension and compression sensors installed at both ends of the power grounding wire of the equipment are started to periodically detect the tension on both sides of the power grounding wire, which is recorded as the left operating tension Zx i and right running tension Ux i After linear normalization, the left running tension fluctuation rate Zb is calculated i and the right running pull fluctuation rate Ub i :
[0065]
[0066] Wherein, i represents the detection time sequence number of the data, i=1, 2, ..., m, and when m is not greater than 10, the volatility is not calculated.
[0067] Step 202: Obtain the left running pulling force Zx i , right running force Ux i , Left running tension fluctuation rate Zb i And the right running tension fluctuation rate Ub i After linear normalization, the abnormal running tension index Ly is calculated. i :
[0068]
[0069] Among them, Zx b is the mean of all historical left running tension data, Ux b is the mean of all historical right running tension data, Zb b is the mean of all historical left-run pull volatility data, Ub b It is the mean of all historical right-running pull volatility data.
[0070] Step 203: Obtain the abnormal running tension index Ly i , when the running tension abnormality index Ly i When the operating tension exceeds the normal range, an abnormal ground wire operation hook warning is issued.
[0071] Among them, the normal range of operating tension is (0.8Ly b , 1.2Ly b ), Ly b It is the mean of all historical running tensile anomaly index data.
[0072] When using, combine the contents in steps 201 to 203:
[0073] Analyze the tension on both sides of the power grounding wire of the running equipment to obtain the left running tension Zx i , right running force Ux i , Left running tension fluctuation rate Zb i And the right running tension fluctuation rate Ub i , calculate the abnormal running tension index Ly i , an abnormal grounding wire operation hook-up warning is issued to the outside, which can promptly detect whether the grounding wire is loose, vibrating violently, or other forms of hook-up abnormalities, thereby preventing safety accidents caused by poor grounding wire contact.
[0074] Step 3: Obtain the abnormal warning time Gy of each non-operational connection of each power grounding line a And each operation hook abnormal warning time Jg b , calculate and obtain the non-operational connection abnormal frequency Pf and the operation connection abnormal frequency Gf of each power grounding line, and adopt corresponding early warning strategies.
[0075] The step three comprises the following steps:
[0076] Step 301: Obtain the abnormal warning time Gy of each non-operation connection of each power grounding line based on the Internet of Things a And each operation hook abnormal warning time Jg b , calculate and obtain the non-operating connection abnormal frequency Pf and the operating connection abnormal frequency Gf of each power grounding line:
[0077]
[0078] Among them, a represents the time sequence number of each non-operational attachment abnormal warning time, and b represents the time sequence number of each operation attachment abnormal warning time.
[0079] Step 302: Obtain the non-operational connection abnormal frequency Pf of each power grounding line, mark the power grounding line whose non-operational connection abnormal frequency Pf is lower than the average non-operational connection abnormal frequency of all power grounding lines as a non-operational connection abnormality, and send a prompt to the corresponding power equipment to connect the power grounding line before the corresponding power equipment starts to operate.
[0080] Step 303: Based on the Internet of Things, the installation and maintenance records of each power grounding wire are obtained, the real-time usage time of each power grounding wire is extracted, and compared with the operation connection abnormal frequency Gf of each power grounding wire. When the real-time usage time of each power grounding wire exceeds the operation connection abnormal frequency Gf, a maintenance warning for the corresponding power grounding wire is issued.
[0081] The connector of the ground wire may become loose due to long-term use, vibration, or other factors, resulting in poor contact, which can cause overheating and may even generate sparks, increasing the risk of fire.
[0082] When using, combine the contents in steps 301 to 303:
[0083] Get the abnormal warning time Gy of each non-operational connection of each power grounding line a And each grounding line operation hook abnormal warning time Jg b , the non-operational connection abnormal frequency Pf and the operation connection abnormal frequency Gf of each power grounding line are calculated, and corresponding early warning strategies are adopted. This can quantitatively evaluate the risks of power grounding lines, help to more intuitively understand the operating status of grounding lines, and provide a scientific basis for decision-making. For grounding lines with frequent abnormalities, targeted measures can be taken to reduce the possibility of faults.
[0084] Step 4: After receiving the maintenance warning of the power grounding wire, remove the corresponding grounding wire and install it into the detection circuit for functional detection, collect the power data of the power grounding wire, and obtain the operating current Dl i , operating voltage Dy i , operating temperature Dw i 、Operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i , calculate and obtain the abnormal power index Yd i , and issue an abnormal grounding wire function warning.
[0085] The step 4 includes the following contents:
[0086] Step 401: After receiving the maintenance warning of the power grounding wire, the corresponding grounding wire is removed and installed in the detection circuit for functional detection. The power data of the power grounding wire in the detection circuit is collected through the current sensor, voltage sensor and temperature sensor, and recorded as the operating current D1. i , operating voltage Dy i And operating temperature Dw i After linear normalization, the operating current fluctuation rate Bl is calculated i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i :
[0087]
[0088] The corresponding operating current fluctuation rate Bl i 、Operation voltage fluctuation rateByi And operating temperature fluctuation rate Bw i The calculation formula is as above.
[0089] Step 402: Obtain operating current D1 i , operating voltage Dy i , operating temperature Dw i 、Operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i After linear normalization, the operating power abnormality index Yd is calculated i :
[0090]
[0091] Among them, Dl b is the mean value of all historical operating current data, Dy b is the mean value of all historical operating voltage data, Dw b is the mean of all historical operating temperature data, Bl b is the mean of all historical operating current fluctuation rate data, By b is the mean of all historical operating voltage fluctuation rate data, Bw b It is the mean of all historical operating temperature fluctuation data.
[0092] Step 403: Obtain the abnormal power index Yd i , when the operating power abnormality index Yd i When the operating power exceeds the normal range, an abnormal grounding wire function warning is issued and a new power grounding wire is replaced for the power equipment.
[0093] When the operating power abnormality index Yd i When the normal operating power range is not exceeded, install the power grounding wire back to the original equipment and check whether both ends of the grounding wire are firmly connected.
[0094] Among them, the normal range of operating power is (0.8Yd b , 1.2Yd b ), Yd b It is the mean of all historical running power anomaly index data.
[0095] When using, combine the contents in steps 401 to 403:
[0096] After receiving the maintenance warning of the power grounding wire, the corresponding grounding wire is removed and installed into the detection circuit for functional detection, and the power data of the power grounding wire is collected to obtain the operating current Dl i , operating voltage Dy i , operating temperature Dwi 、Operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i , calculate and obtain the abnormal power index Yd i , and issue an early warning of abnormal grounding wire function. The abnormal function of the power grounding wire may cause safety problems such as circuit short circuit and equipment damage. By timely discovering and handling these problems, the safe operation of the power system can be guaranteed and the occurrence rate of safety accidents can be reduced.
[0097] See also Figure 2 The present invention provides a power grounding wire safety management and control system based on the Internet of Things, including:
[0098] The operating status analysis module is used to obtain the operating status of each power device.
[0099] The equipment startup warning module includes a tension analysis unit and a position analysis unit. The tension analysis unit is used to detect the tension on both sides of the power grounding wire when the non-operating state device requests to switch to the operating state. When the tension on at least one side of the two sides is less than a preset tension threshold, an abnormal grounding wire non-operating connection warning is issued. The position analysis unit is used to determine the installation position of the grounding terminal, judge whether the installation position of the power grounding wire is accurate, and issue an abnormal grounding wire non-operating connection warning.
[0100] Grounding wire running tension analysis module, analyzes the tension on both sides of the equipment power grounding wire, and obtains the left running tension Zx i , right running force Ux i , Left running tension fluctuation rate Zb i And the right running tension fluctuation rate Ub i , calculate the abnormal running tension index Ly i , and issue an abnormal warning of ground wire operation and connection.
[0101] Frequency analysis module, obtains the abnormal warning time Gy of each non-operational connection of each power grounding line a And each operation hook abnormal warning time Jg b , calculate and obtain the non-operating connection abnormal frequency Pf and the operating connection abnormal frequency Gf of each power grounding line.
[0102] The hook-up prompt module obtains the non-operation hook-up abnormal frequency Pf of each power grounding line, marks the power grounding line whose non-operation hook-up abnormal frequency Pf is lower than the average of the non-operation hook-up abnormal frequencies of all power grounding lines as a non-operation hook-up abnormality, and sends a hook-up power grounding line prompt to the corresponding power equipment before its corresponding power equipment starts to operate.
[0103] The maintenance warning module obtains the installation and maintenance records of each power grounding wire based on the Internet of Things, extracts the real-time usage time of each power grounding wire, and compares it with the operation and connection abnormal frequency Gf of each power grounding wire. When the real-time usage time of each power grounding wire exceeds the operation and connection abnormal frequency Gf, a maintenance warning for the corresponding power grounding wire is issued.
[0104] The grounding wire operation power analysis module, after receiving the maintenance warning of the power grounding wire, removes the corresponding grounding wire and installs it into the detection circuit for functional detection, collects the power data of the power grounding wire, and obtains the operating current Dl i , operating voltage Dy i , operating temperature Dw i 、Operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i , calculate and obtain the abnormal power index Yd i , and issue an abnormal grounding wire function warning.
[0105] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.
[0106] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0107] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.
Claims
1. A power grounding wire safety management and control method based on the Internet of Things, characterized by: The steps include: When the non-operating state device requests to switch to the operating state, it detects the tension on both sides of the power grounding wire and the installation position of the grounding terminal, determines whether the power grounding wire is normally connected, and issues an abnormal warning of the non-operating connection of the grounding wire; Analyze the tension on both sides of the power grounding wire of the running equipment to obtain the left running tension Zx i , right running force Ux i , Left running tension fluctuation rate Zb i And the right running tension fluctuation rate Ub i , calculate the abnormal running tension index Ly i , and send out abnormal warning of grounding line operation and hooking; Get the abnormal warning time Gy of each non-operational connection of each power grounding line a And each operation hook abnormal warning time Jg b , calculate and obtain the non-operational connection abnormal frequency Pf and the operation connection abnormal frequency Gf of each power grounding line, and adopt corresponding early warning strategies; After receiving the maintenance warning of the power grounding wire, the corresponding grounding wire is removed and installed into the detection circuit for functional detection, and the power data of the power grounding wire is collected to obtain the operating current Dl i , operating voltage Dy i , operating temperature Dw i 、Operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i , calculate and obtain the abnormal power index Yd i , and issue an abnormal grounding wire function warning.
2. The method for safe management and control of power grounding wires based on the Internet of Things according to claim 1 is characterized in that: When the power equipment is in operation, the tension and compression sensors installed at both ends of the power grounding wire of the equipment are started to periodically detect the tension on both sides of the power grounding wire, which is recorded as the left operating tension Zx i and right running tension Ux i After linear normalization, the left running tension fluctuation rate Zb is calculated i and the right running pull fluctuation rate Ub i : Wherein, i represents the detection time sequence number of the tension data, i=1, 2, ..., m, and when m is not greater than 10, the fluctuation rate is not calculated.
3. The method for safe management and control of power grounding wires based on the Internet of Things according to claim 2 is characterized in that: Get the left running pull Zx i , right running force Ux i , Left running tension fluctuation rate Zb i And the right running tension fluctuation rate Ub i After linear normalization, the abnormal running tension index Ly is calculated. i : Among them, Zx b is the mean of all historical left running tension data, Ux b is the mean of all historical right running tension data, Zb b is the mean of all historical left-run pull volatility data, Ub b It is the mean of all historical right-running pull volatility data.
4. The method for safe management and control of power grounding wires based on the Internet of Things according to claim 3 is characterized in that: Get the abnormal running tension index Ly i , when the running tension abnormality index Ly i When the operating tension exceeds the normal range, an abnormal grounding wire operation hook warning is issued; Among them, the normal range of operating tension is (0.8Ly b , 1.2Ly b ), Ly b It is the mean of all historical running tensile anomaly index data.
5. The method for safe management and control of power grounding wires based on the Internet of Things according to claim 1 is characterized in that: After receiving the maintenance warning of the power grounding wire, the corresponding grounding wire is removed and installed into the detection circuit for functional detection. The power data of the power grounding wire is collected through the current sensor, voltage sensor and temperature sensor and recorded as the operating current Dl i , operating voltage Dy i And operating temperature Dw i After linear normalization, the operating current fluctuation rate Bl is calculated i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i : The corresponding operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i The calculation formula is as above.
6. The method for safe management and control of power grounding wires based on the Internet of Things according to claim 5 is characterized in that: Get the running current Dl i , operating voltage Dy i , operating temperature Dw i 、Operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i After linear normalization, the operating power abnormality index Yd is calculated i : Among them, Dl b is the mean value of all historical operating current data, Dy b is the mean value of all historical operating voltage data, Dw b is the mean of all historical operating temperature data, Bl b is the mean of all historical operating current fluctuation rate data, By b is the mean of all historical operating voltage fluctuation rate data, Bw b It is the mean of all historical operating temperature fluctuation data.
7. The method for safe management and control of power grounding wires based on the Internet of Things according to claim 6 is characterized in that: Get the operating power abnormality index Yd i , when the operating power abnormality index Yd i When the normal operating power range is exceeded, an abnormal grounding wire function warning will be issued; When the operating power abnormality index Yd i When the normal operating power range is not exceeded, install the power grounding wire back to the original equipment; Among them, the normal range of operating power is (0.8Yd b , 1.2Yd b ), Yd b It is the mean of all operating power anomaly index data.
8. A power grounding wire safety management and control system based on the Internet of Things, used to implement the method described in any one of claims 1 to 7, characterized in that: include: The equipment startup warning module includes a tension analysis unit and a position analysis unit. The tension analysis unit is used to detect the tension on both sides of the power grounding wire when the non-operating state equipment requests to switch to the operating state. When the tension on at least one side of the two sides is less than a preset tension threshold, an abnormal warning of non-operating connection of the grounding wire is issued externally; The position analysis unit is used to determine the installation position of the grounding terminal, judge whether the installation position of the power grounding wire is accurate, and issue an abnormal warning of the grounding wire non-operation connection; Grounding wire running tension analysis module, analyzes the tension on both sides of the equipment power grounding wire, and obtains the left running tension Zx i , right running force Ux i , Left running tension fluctuation rate Zb i And the right running tension fluctuation rate Ub i , calculate the abnormal running tension index Ly i , and send out abnormal warning of grounding line operation and hooking; Frequency analysis module, obtains the abnormal warning time Gy of each non-operational connection of each power grounding line a And each operation hook abnormal warning time Jg b , calculate and obtain the non-operational connection abnormal frequency Pf and the operation connection abnormal frequency Gf of each power grounding line; The hook-up prompt module obtains the non-operation hook-up abnormal frequency Pf of each power grounding line, marks the power grounding line whose non-operation hook-up abnormal frequency Pf is lower than the average of the non-operation hook-up abnormal frequencies of all power grounding lines as a non-operation hook-up abnormality, and sends a hook-up power grounding line prompt to the corresponding power equipment before the corresponding power equipment starts to operate; The maintenance warning module obtains the installation and maintenance records of each power grounding wire based on the Internet of Things, extracts the real-time usage time of each power grounding wire, and compares it with the abnormal operation and connection frequency Gf of each power grounding wire. When the real-time usage time of each power grounding wire exceeds the abnormal operation and connection frequency Gf, a maintenance warning of the corresponding power grounding wire is issued. The grounding wire operation power analysis module, after receiving the maintenance warning of the power grounding wire, removes the corresponding grounding wire and installs it into the detection circuit for functional detection, collects the power data of the power grounding wire, and obtains the operating current Dl i , operating voltage Dy i , operating temperature Dw i 、Operating current fluctuation rate Bl i 、Operation voltage fluctuation rateBy i And operating temperature fluctuation rate Bw i , calculate and obtain the abnormal power index Yd i , and issue an abnormal grounding wire function warning.
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