An Internet of Things-based power emergency repair location monitoring system

Abstract

The present invention relates to the field of power emergency repair technology, and in particular to a power emergency repair location monitoring system based on the Internet of Things. The system periodically sends location information and emergency information through a mobile terminal and an emergency terminal respectively, transmits the location information and emergency information through a transmission layer, receives the location information and emergency information through a receiving layer, and the positioning layer monitors the mobile terminal and the emergency terminal in real time based on the real-time received location information and emergency information. The analysis layer determines whether the movement process of the mobile terminal meets the standards based on the real-time received location information. If it is determined that the movement process of the mobile terminal does not meet the standards, a correction method is generated based on the determined cause. The instruction layer generates a corresponding instruction based on the correction method, and corrects the movement parameters of the mobile terminal or the judgment benchmark of the analysis layer according to the instruction. With such a setting, real-time adjustments can be made to the mobile device based on the positioning situation, thereby improving the efficiency of power emergency repair.

Description

Technical Field

[0001] The present invention relates to the technical field of power emergency repair, and in particular to a power emergency repair location monitoring system based on the Internet of Things. Background Art

[0002] With the rapid development of human society, the power industry plays a vital role across society, significantly impacting people's living standards and the lifeblood of the national economy. In real life, power outages caused by natural disasters, improper operation, aging equipment, and other issues can necessitate emergency power repairs. In the event of power outages caused by severe natural disasters or major production accidents, emergency repair personnel and equipment must arrive at the scene as soon as possible to perform emergency power repairs. With the rapid development of the Internet of Things (IoT), IoT technology can be used to transmit real-time information to backend information processing systems via wireless networks. Intelligent methods such as real-time tracking and monitoring can then be applied to power emergency repair operations.

[0003] In the current existing technology, power emergency repair is mainly carried out around scheduling. Chinese patent publication number: CN107959589A discloses a power emergency repair debugging system, which includes a monitoring center and a vehicle-mounted center. It can generate repair project reports and various assessment reports through real-time maintenance records, and can enter project information into a work log after the repair work is completed. The user information, cause of the fault, solution and consumable equipment encountered during the repair are organized into a standardized log archive for future reference, thereby improving the speed of scheduling; at the same time, it can also realize the management of system permissions, ensure the security of the system, avoid the leakage of repair information, and through the review and inspection of permissions, ensure that only staff with corresponding authority can obtain power repair information and deploy repair projects. The above technical solution addresses the problems of slow decision-making and inefficient dispatching in existing power emergency repair systems. It does not involve how to use Internet of Things technology to monitor the location of mobile devices such as repair vehicles and repair points in power repair operations in real time, and then locate the mobile devices in real time, and determine whether the mobile devices can arrive at the repair point on time based on the location of the mobile devices and the repair point. It also does not involve how to make real-time adjustments to the mobile devices based on the positioning situation, thereby improving the efficiency of power emergency repair. Summary of the Invention

[0004] To this end, the present invention provides an Internet of Things-based power emergency repair location monitoring system to solve the problem in the existing technology that there is a lack of real-time monitoring of the location of mobile devices and repair points in power emergency repair operations by combining Internet of Things technology, and determining whether the mobile device can arrive at the repair point on time based on the location of the mobile device and the repair point.

[0005] To achieve the above objectives, the present invention provides an Internet of Things-based power emergency repair location monitoring system, comprising:

[0006] The emergency layer includes several emergency terminals that periodically send emergency information in the event of an emergency;

[0007] The mobile layer includes several mobile terminals that periodically send location information;

[0008] a transport layer, connected to the mobile layer and the emergency layer respectively, and comprising a plurality of transport units for transmitting the location information and the emergency information;

[0009] a receiving layer connected to the transmission layer, configured to receive the location information and the emergency information transmitted by the transmission unit, and to generate a time node tag for the location information;

[0010] a positioning layer connected to the receiving layer, and configured to monitor the mobile terminal and the emergency terminal in real time based on the position information and the emergency information received in real time;

[0011] an analysis layer connected to the receiving layer and the positioning layer, respectively, and configured to determine whether the movement process of the mobile terminal meets the standard based on the real-time received location information, and, if it is determined that the movement process of the mobile terminal does not meet the standard, generate a corresponding correction method based on a determined cause;

[0012] The instruction layer is connected to the transmission layer and the analysis layer respectively, and is used to generate corresponding instructions based on the correction method generated by the analysis layer, and to correct the movement parameters of the mobile terminal or the judgment criteria of the analysis layer according to the corresponding instructions.

[0013] Furthermore, the analysis layer is further configured to determine the straight-line distance between the mobile terminal and the emergency terminal in each detection period based on the location information and the emergency information, and to determine a monitoring standard for the mobile terminal during movement based on the straight-line distance and the expected emergency repair period, wherein the monitoring standard includes a moving speed standard of the mobile terminal and a frequency of data interaction between the mobile terminal and the transport layer during the emergency repair process;

[0014] The analysis layer is further configured to determine in real time a preset straight-line distance between the mobile terminal and the emergency terminal in each detection cycle based on the above information.

[0015] Furthermore, the analysis layer is also used to determine whether the movement process of the mobile terminal meets the standards based on the comparison result of the straight-line distance in the current detection cycle and the preset straight-line distance, or based on the comparison result of the actual driving distance of the mobile terminal and the straight-line shortened distance between the mobile terminal and the emergency terminal, and, when it is determined that the movement process of the mobile terminal does not meet the standards, determine the reason for non-compliance based on the straight-line distance difference, wherein the straight-line distance difference is the difference between the straight-line distance and the preset straight-line distance, and the actual driving distance is the distance traveled by the mobile terminal on the expected moving route.

[0016] Furthermore, the analysis layer is also used to correct the speed adjustment coefficient based on the comparison result of the driving distance ratio and the preset driving distance ratio stored in the analysis layer to readjust the moving speed standard, or to determine the reason why the movement process of the mobile terminal does not meet the standard based on the straight-line distance difference, wherein the driving distance ratio is the ratio between the actual driving distance and the straight-line shortened distance.

[0017] Furthermore, the analysis layer is also used to generate a correction method for increasing the speed adjustment coefficient to a corresponding value to correct the moving speed standard based on a comparison result of the distance ratio difference and a pre-stored preset distance ratio difference, wherein the distance ratio difference is the difference between the driving distance ratio and the preset driving distance ratio, and the increase in the speed adjustment coefficient is proportional to the distance ratio difference.

[0018] Furthermore, the analysis layer is also used to determine the reason why the movement process of the mobile terminal does not meet the standards based on the comparison result of the straight-line distance difference and the pre-stored preset straight-line distance difference, and to generate a corresponding processing method based on the determined reason, including: correction of the data interaction frequency, correction of the speed adjustment coefficient, or controlling the instruction layer to send a notification for re-planning the expected movement route.

[0019] Furthermore, the analysis layer is also used to determine whether the data interaction frequency is increased to a corresponding value based on a comparison result of the distance difference change and a pre-stored preset distance difference change, wherein the distance difference change is the difference between the preset straight-line distance difference and the straight-line distance difference, and the increase in the data interaction frequency is proportional to the distance difference change.

[0020] Furthermore, the analysis layer is also used to determine whether the speed adjustment coefficient is increased to a corresponding value based on a comparison result of the second-order distance difference and a pre-stored preset second-order distance difference, and the increase in the speed adjustment coefficient is proportional to the second-order distance difference, wherein the second-order distance difference is the difference between the preset straight-line distance difference and the straight-line distance difference.

[0021] Furthermore, the analysis layer is also used to determine whether the speed adjustment coefficient needs to be corrected based on the comparison result of the variance of the mobile terminal's movement speed in the historical detection period and the pre-stored preset variance, or to determine whether the instruction layer sends a notification to re-plan the expected moving route.

[0022] Furthermore, the analysis layer is also used to sequentially estimate expected time based on several alternative moving routes obtained by the mobile terminal to determine whether the instruction layer issues a change notification for the alternative moving route, or issues a scheduling notification for other mobile terminals.

[0023] Compared with the prior art, the beneficial effect of the power emergency repair location monitoring system based on the Internet of Things of the present invention is that, in the event of an emergency, the monitoring system of the present invention periodically sends emergency information through the emergency terminal, periodically sends location information through the mobile terminal, and then transmits the location information and emergency information through the transmission layer. The location information and emergency information are then received by the receiving layer. The positioning layer monitors the mobile terminal and the emergency terminal in real time based on the real-time received location information and emergency information. The analysis layer determines whether the movement process of the mobile terminal meets the standards based on the real-time received location information. If it is determined that the movement process of the mobile terminal does not meet the standards, a corresponding correction method is generated based on the determined cause. Finally, the instruction layer generates a corresponding instruction based on the correction method generated by the analysis layer, and corrects the movement parameters of the mobile terminal or the judgment benchmark of the analysis layer according to the corresponding instruction. With such a setting, real-time adjustments can be made to the mobile device based on the positioning situation, thereby improving the efficiency of power emergency repair.

[0024] Furthermore, the present invention determines the straight-line distance between the two through location information and emergency information, determines a mobile terminal with the shortest straight-line distance, and then determines the moving speed of the mobile terminal based on the expected emergency repair period and the straight-line distance of the emergency terminal, and also determines the frequency of the mobile terminal sending signals based on the expected emergency repair period, so that the positioning layer can monitor the position of the mobile terminal in real time, thereby correcting the moving speed of the mobile terminal, so that the mobile terminal can reach the emergency terminal within the expected emergency repair period to complete the power repair and prevent the fault from expanding.

[0025] Furthermore, the analysis layer of the present invention determines whether the movement process of the mobile terminal meets the standards based on the comparison results of the straight-line distance and the expected straight-line distance in the current detection cycle, and determines the reason for non-compliance with the standards based on the straight-line distance difference when the movement process does not meet the standards.

[0026] Furthermore, the analysis layer of the present invention further determines whether the movement process of the mobile terminal meets the standards based on the comparison results of the actual driving distance and the straight-line shortened distance in the current detection cycle, thereby improving the determination accuracy of the analysis layer, thereby avoiding the occurrence of misjudgment that leads to the inability to carry out power emergency repairs in a timely manner, and improving the efficiency of power emergency repairs.

[0027] Furthermore, when the present invention determines that the reason why the movement process of the mobile terminal does not meet the standards is the movement speed, it can generate a correction method for the speed adjustment coefficient based on the comparison result of the distance ratio difference and the preset distance ratio difference, and transmit the corresponding instruction to the mobile terminal through the instruction layer to increase the movement speed of the mobile terminal, so that the mobile terminal can reach the emergency terminal within the expected repair period, thereby improving the efficiency of power emergency repair.

[0028] Furthermore, the analysis layer of the present invention determines the reason why the movement of the mobile terminal does not meet the standards based on the comparison result of the straight-line distance difference and the preset straight-line distance difference, and generates three corresponding correction methods based on the reason, including correction of data interaction frequency, correction of speed adjustment coefficient and sending a notification to re-plan the expected movement route; by increasing the data interaction frequency to improve the real-time performance of data transmission, increasing the speed adjustment coefficient to increase the movement speed of the mobile terminal, and, when it is determined that the current expected movement route does not meet the requirements, issuing a route change notification to reduce the time it takes for the mobile terminal to reach the emergency terminal. This arrangement enables the mobile terminal to quickly reach the emergency terminal, thereby improving the efficiency of power emergency repairs.

[0029] Furthermore, before adjusting the speed adjustment coefficient, the analysis layer of the present invention can determine whether the increase in the speed of the mobile terminal on the current moving route can enable the mobile terminal to reach the emergency terminal in time based on the variance of the moving speed in the historical detection cycle. If acceleration cannot ensure that the mobile terminal arrives at the emergency terminal in time, the instruction layer is required to send an instruction to change the expected moving route so that the mobile terminal can arrive at the emergency terminal in time.

[0030] Furthermore, when the analysis layer of the present invention determines that there is no suitable alternative mobile route, the instruction layer issues a dispatch instruction for other mobile terminals in the mobile layer, thereby ensuring that the power emergency repair for the emergency terminal can be completed in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a module diagram of the power emergency repair location monitoring system based on the Internet of Things of the present invention;

[0032] Figure 2 This is a flow chart of the power emergency repair location monitoring system based on the Internet of Things of the present invention;

[0033] Figure 3 This is a flow chart of determining whether a moving process of a mobile terminal complies with a standard based on straight-line distance according to the present invention;

[0034] Figure 4 The figure is a flow chart of determining the reason why the movement process of the mobile terminal does not meet the standard based on the straight-line distance difference according to the present invention. DETAILED DESCRIPTION

[0035] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0036] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0037] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0038] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0039] This embodiment provides an Internet of Things-based power emergency repair location monitoring system, which can be applied to power emergency repair operations. When a power accident occurs and repair operations need to be carried out, the system can monitor the location of the mobile repair vehicle, the location of the repair point, and the distance between the two in real time based on the technology of the Internet of Things, and adjust the speed of the mobile repair vehicle or change the moving route according to the monitoring situation, so that the mobile repair vehicle can quickly reach the repair point for power emergency repair, thereby avoiding the expansion of the power accident.

[0040] See also Figure 1, which is a schematic diagram of the structure of an Internet of Things-based power emergency repair location monitoring system in this embodiment. The system includes the following structures: emergency layer, mobile layer, transmission layer, receiving layer, positioning layer, analysis layer and instruction layer. The emergency layer includes a plurality of emergency terminals for periodically transmitting emergency information in the event of an emergency; the mobile layer includes a plurality of mobile terminals for periodically transmitting location information; the transport layer is connected to the mobile layer and the emergency layer, respectively, and includes a plurality of transmission units for transmitting the location information and the emergency information; the receiving layer is connected to the transport layer, and is configured to receive the location information and the emergency information transmitted by the transmission units, and to generate time node tags for the location information; the positioning layer is connected to the receiving layer, and is configured to monitor the mobile terminals and the emergency terminals in real time based on the real-time received location information and the emergency information; the analysis layer is connected to the receiving layer and the positioning layer, respectively, and is configured to determine whether the movement process of the mobile terminal meets the standard based on the real-time received location information, and if it is determined that the movement process of the mobile terminal does not meet the standard, generate a corresponding correction method based on the determined cause; the instruction layer is connected to the transport layer and the analysis layer, respectively, and is configured to generate a corresponding instruction based on the correction method generated by the analysis layer, and to correct the movement parameters of the mobile terminal or the determination criteria of the analysis layer according to the corresponding instruction. The positioning layer is further used to determine whether the power failure at the location of the emergency terminal has spread based on the emergency information received in real time.

[0041] Specifically, in this embodiment, the mobile terminal includes an electric power emergency repair vehicle; the transmission unit includes a Beidou satellite or a Ku communication satellite. The Beidou satellite provides high-precision, high-reliability positioning, navigation, and timing services, and the Ku communication satellite provides high-speed data transmission services. Through the satellite self-organizing network system and multi-hop relay, it effectively solves the emergency communication problem in harsh environments or emergency situations; the receiving layer, positioning layer, analysis layer, and instruction layer together constitute the command center. One mobile terminal corresponds to an emergency terminal. When an emergency terminal sends an emergency message, the positioning layer determines the specific location of the emergency terminal. Then, the analysis layer determines the mobile terminal with the shortest straight-line distance to the emergency terminal based on the location information sent by several mobile terminals received by the positioning layer, and issues an instruction through the instruction layer. The instruction is transmitted to the mobile terminal through the transmission layer, causing the mobile terminal to go to the location of the emergency terminal. The mobile terminal periodically sends location information to the receiving layer, and then the analysis layer determines whether the mobile terminal can reach the emergency terminal on time within the expected repair period based on the real-time received location information, and generates a corresponding correction method when it is determined that the movement process of the mobile terminal does not meet the standards. Then the instruction layer generates a corresponding instruction based on the corresponding correction method and transmits it to the mobile terminal through the transmission layer, thereby modifying the movement parameters of the mobile terminal, or sending the instruction to the analysis layer to correct the judgment criteria of the analysis layer.

[0042] In this embodiment, emergency events include but are not limited to power emergency repair events. When an emergency event occurs, the single mobile terminal that is closest to the emergency terminal in a straight line is matched with it, and then the distance between the two is monitored in real time through the positioning layer to provide data information for analysis by the analysis layer.

[0043] See also Figure 2 As shown in FIG, it is a flow chart of a power emergency repair location monitoring system based on the Internet of Things in this embodiment. The flow includes the following steps:

[0044] S11: Periodically send emergency information in the event of an emergency.

[0045] S12: Periodically send location information.

[0046] S2: Transmit the location information and the emergency information.

[0047] S3: Receive the location information and the emergency information, and generate a time node tag for the location information.

[0048] S4: Based on the location information and the emergency information received in real time, the mobile terminal and the emergency terminal are respectively monitored in real time.

[0049] S5: Determine whether the movement process of the mobile terminal meets the standard based on the position information received in real time, and generate a corresponding correction method based on the determined reason when it is determined that the movement process of the mobile terminal does not meet the standard.

[0050] S6: Generate corresponding instructions based on the correction method generated by the analysis layer, and correct the movement parameters of the mobile terminal or the determination criteria of the analysis layer according to the corresponding instructions.

[0051] Furthermore, the analysis layer is further configured to determine the straight-line distance between the mobile terminal and the emergency terminal in each detection period based on the location information and the emergency information, and to determine a monitoring standard for the mobile terminal during movement based on the straight-line distance and the expected emergency repair period, wherein the monitoring standard includes a moving speed standard of the mobile terminal and a frequency of data interaction between the mobile terminal and the transport layer during the emergency repair process;

[0052] The analysis layer is further configured to determine, in real time, a preset straight-line distance between the mobile terminal and the emergency terminal during each detection period based on the aforementioned information. Comparing this straight-line distance with the preset straight-line distance determines whether the mobile terminal's movement conforms to the standard. For mobile terminals that do not conform to the standard, corrections are made to the monitoring standards to bring the mobile terminal's movement into conformity with the standard.

[0053] See also Figure 3 As shown, it is a flow chart of determining whether the movement process of the mobile terminal meets the standard based on the straight-line distance in this embodiment. The analysis layer is further used to determine whether the movement process of the mobile terminal meets the standard based on the comparison result of the straight-line distance in the current detection cycle and the preset straight-line distance, or based on the comparison result of the actual travel distance of the mobile terminal and the shortened straight-line distance between the mobile terminal and the emergency terminal. In addition, if the movement process of the mobile terminal is determined to be non-compliant with the standard, the reason for non-compliance is determined based on the straight-line distance difference, where the straight-line distance difference is the difference between the straight-line distance and the preset straight-line distance, and the actual travel distance is the distance traveled by the mobile terminal along the expected movement route.

[0054] Specifically, in this embodiment, the preset straight-line distance includes a first preset straight-line distance and a second preset straight-line distance. The analysis layer compares the straight-line distance with the preset straight-line distances as follows:

[0055] If the straight-line distance is less than or equal to the first preset straight-line distance, the moving speed of the mobile terminal at this time meets the standard, and the moving process of the mobile terminal is determined to meet the standard, and the positioning layer continues to monitor the mobile terminal and the emergency terminal; if the straight-line distance is greater than the first preset straight-line distance and less than or equal to the second preset straight-line distance, it is impossible to accurately judge whether the moving process of the mobile terminal meets the standard at this time, and it is necessary to further combine the actual driving distance of the mobile terminal with the comparison result of the straight-line shortened distance between the mobile terminal and the emergency terminal to re-determine whether the moving process meets the standard; if the straight-line distance is greater than the second preset straight-line distance, it is determined that the moving process of the mobile terminal does not meet the standard, and the reason for non-compliance with the standard can be determined based on the straight-line distance difference.

[0056] Specifically, in this embodiment, the first preset straight-line distance is assigned a value of 20 kilometers, and the second preset straight-line distance is assigned a value of 23 kilometers. In other embodiments, the first preset straight-line distance and the second preset straight-line distance are assigned values according to specific locations, which are not specifically limited here.

[0057] Furthermore, the analysis layer is also used to correct the speed adjustment coefficient based on the comparison result of the driving distance ratio and the preset driving distance ratio stored in the analysis layer to readjust the moving speed standard, or to determine the reason why the movement process of the mobile terminal does not meet the standard based on the straight-line distance difference, wherein the driving distance ratio is the ratio between the actual driving distance and the straight-line shortened distance.

[0058] Specifically, in this embodiment, the analysis layer compares the driving distance ratio with the preset driving distance ratio and the result is as follows:

[0059] If the driving distance ratio is less than or equal to the preset driving distance ratio, it is determined that the moving process of the mobile terminal is affected by the moving speed standard. At this time, the speed adjustment coefficient is adjusted based on the distance ratio difference to re-correct the moving speed standard of the mobile terminal, wherein the distance ratio difference is the difference between the preset driving distance ratio and the driving distance ratio; if the driving distance ratio is greater than the preset driving distance ratio, it is determined that the moving process of the mobile terminal does not meet the standard, and the reason for not meeting the standard needs to be determined based on the straight-line distance difference.

[0060] Specifically, in this embodiment, the preset driving distance ratio is assigned a value of 2. In other embodiments, the preset driving distance ratio is assigned according to a specific straight-line distance and an expected moving route, which is not specifically limited here.

[0061] Furthermore, the analysis layer is also used to generate a correction method for increasing the speed adjustment coefficient to a corresponding value to correct the moving speed standard based on a comparison result of the distance ratio difference and a pre-stored preset distance ratio difference, wherein the distance ratio difference is the difference between the driving distance ratio and the preset driving distance ratio, and the increase in the speed adjustment coefficient is proportional to the distance ratio difference.

[0062] Specifically, in this embodiment, the preset distance ratio difference includes a first preset distance ratio difference and a second preset distance ratio difference. The analysis layer compares the distance ratio difference with the preset distance ratio difference as follows:

[0063] If the distance ratio difference is less than or equal to the first preset distance ratio difference, the analysis layer determines to use the first adjustment parameter to correct the speed adjustment coefficient to 1.15 times the initial value; if the distance ratio difference is greater than the first preset distance ratio difference and less than or equal to the second preset distance ratio difference, the analysis layer determines to use the second adjustment parameter to correct the speed adjustment coefficient of the mobile terminal to 1.45 times the initial value; if the distance ratio difference is greater than the second preset distance ratio difference, the analysis layer determines to use the third adjustment parameter to correct the speed adjustment coefficient of the mobile terminal to 1.75 times the initial value.

[0064] After the speed adjustment coefficient is corrected, the instruction layer will regenerate an instruction of a moving speed standard based on the corrected speed adjustment coefficient, and send the instruction to the corresponding mobile terminal to re-determine the moving speed of the mobile terminal.

[0065] Specifically, in this embodiment, the first preset distance ratio difference is assigned a value of 1, and the second preset distance ratio difference is assigned a value of 2. In other embodiments, the first preset distance ratio difference and the second preset distance ratio difference are assigned values according to actual conditions and are not specifically limited here.

[0066] See also Figure 4 , which is a flow chart illustrating how to determine the reason why a mobile terminal's movement process does not meet standards based on a straight-line distance difference value in this embodiment. The analysis layer is further configured to determine the reason why the mobile terminal's movement process does not meet standards based on a comparison result of the straight-line distance difference value with a pre-stored preset straight-line distance difference value, and to generate a corresponding treatment method based on the determined reason, including: correcting the data exchange frequency, correcting the speed adjustment coefficient, or controlling the instruction layer to send a notification to replan the expected movement route.

[0067] Specifically, in this embodiment, the preset straight-line distance difference includes a first preset straight-line distance difference and a second preset straight-line distance difference. The analysis layer compares the straight-line distance difference with the preset straight-line distance difference as follows:

[0068] If the straight-line distance difference is less than or equal to the first preset straight-line distance difference, the time node label generated by the receiving layer for the location information is inconsistent with the time of the location information actually sent by the mobile terminal. It can be determined that there is a delay when the location information sent by the mobile terminal is transmitted through the transmission layer. At this time, the data interaction frequency can be corrected based on the distance difference change, wherein the distance difference change is the difference between the first preset straight-line distance difference and the straight-line distance difference; if the straight-line distance difference is greater than the first preset straight-line distance difference and is less than or equal to the second preset straight-line distance difference, it is determined that the moving speed of the mobile terminal does not meet the standard. At this time, the speed adjustment coefficient is corrected based on the second-order distance difference, wherein the second-order distance difference is the difference between the second preset straight-line distance difference and the straight-line distance difference; if the straight-line distance difference is greater than the second preset straight-line distance difference, it is determined that there is a problem with the expected moving route currently located by the mobile terminal, and the instruction layer sends a notification to re-plan the expected moving route.

[0069] Specifically, in this embodiment, the first preset straight-line distance difference is assigned a value of 2 kilometers, and the second preset straight-line distance difference is assigned a value of 4 kilometers. In other embodiments, the first preset straight-line distance difference and the second preset straight-line distance difference are assigned values based on straight-line distances, which are not specifically limited here.

[0070] Furthermore, the analysis layer is also used to determine whether the data interaction frequency is increased to a corresponding value based on a comparison result of the distance difference change and a pre-stored preset distance difference change, wherein the distance difference change is the difference between the preset straight-line distance difference and the straight-line distance difference, and the increase in the data interaction frequency is proportional to the distance difference change.

[0071] Specifically, in this embodiment, the preset straight-line distance difference change includes a first preset straight-line distance difference change and a second preset straight-line distance difference change. The analysis layer compares the distance difference change with the preset distance difference change as follows:

[0072] If the straight-line distance difference change is less than or equal to the first preset straight-line distance difference change, the analysis layer determines to use the first frequency adjustment coefficient to correct the data interaction frequency to 1.32 times the initial value; if the straight-line distance difference change is greater than the first preset straight-line distance difference change and less than or equal to the second preset straight-line distance difference change, the analysis layer determines to use the second frequency adjustment coefficient to correct the data interaction frequency to 1.45 times the initial value; if the straight-line distance difference change is greater than the second preset straight-line distance difference change, the analysis layer determines to use the third frequency adjustment coefficient to correct the data interaction frequency to 1.73 times the initial value.

[0073] Specifically, in this embodiment, the first preset straight-line distance difference change is assigned a value of 0.5 kilometers, and the second preset straight-line distance difference change is assigned a value of 0.8 kilometers. In other embodiments, the first preset straight-line distance difference change and the second preset straight-line distance difference change are assigned values based on the straight-line distance difference, which is not specifically limited here.

[0074] Furthermore, the analysis layer is also used to determine whether the speed adjustment coefficient is increased to a corresponding value based on a comparison result of the second-order distance difference and a pre-stored preset second-order distance difference, and the increase in the speed adjustment coefficient is proportional to the second-order distance difference, wherein the second-order distance difference is the difference between the preset straight-line distance difference and the straight-line distance difference.

[0075] Specifically, in this embodiment, the second-order distance difference is the difference between the second preset straight-line distance difference and the straight-line distance difference. The preset second-order distance difference includes the first preset second-order distance difference and the second preset second-order distance difference. The analysis layer compares the second-order distance difference with the preset second-order distance difference as follows:

[0076] If the second-order distance difference is less than or equal to the first preset second-order distance difference, the analysis layer determines to use the fourth adjustment parameter to correct the speed adjustment coefficient to 1.42 times the initial value; if the second-order distance difference is greater than the first preset second-order distance difference and less than or equal to the second preset second-order distance difference, the analysis layer determines to use the fifth adjustment parameter to correct the speed adjustment coefficient to 1.83 times the initial value; if the second-order distance difference is greater than the second preset second-order distance difference, the analysis layer determines to use the sixth adjustment parameter to correct the speed adjustment coefficient to 2.12 times the initial value.

[0077] Specifically, in this embodiment, the second-order difference value of the first preset distance is assigned to 0.3 kilometers, and the second-order difference value of the second preset distance is assigned to 0.4 kilometers. In other embodiments, the second-order difference value of the first preset distance and the second-order difference value of the second preset distance are assigned based on the straight-line distance difference, which is not specifically limited here.

[0078] Furthermore, the analysis layer is also used to determine whether the speed adjustment coefficient needs to be corrected based on the comparison result of the variance of the mobile terminal's movement speed in the historical detection period and the pre-stored preset variance, or to determine whether the instruction layer sends a notification to re-plan the expected moving route.

[0079] Specifically, in this embodiment, if the variance is less than or equal to the preset variance, it is determined that the speed change amplitude of the mobile terminal during the original expected moving route is relatively gentle, and the route does not have too much obstacle to acceleration. The speed adjustment coefficient can be increased and corrected, so that the mobile terminal can reach the emergency terminal within the expected emergency repair period by increasing the moving speed; if the variance is greater than the preset variance, it is determined that the speed change amplitude of the mobile terminal during the original expected moving route has large fluctuations, and the route will have a large obstacle to acceleration. At this time, even if the moving speed of the mobile terminal is increased in time, it cannot guarantee that the mobile terminal can reach the emergency terminal in time. Therefore, it is necessary to re-plan the route for the mobile terminal to ensure that the mobile terminal can reach the emergency terminal.

[0080] Specifically, in this embodiment, the preset variance is assigned a value of 0.4. In other embodiments, the preset variance is assigned a value according to the actual speed of the mobile terminal, which is not specifically limited here.

[0081] Furthermore, the analysis layer is also used to sequentially estimate expected time based on several alternative moving routes obtained by the mobile terminal to determine whether the instruction layer issues a change notification for the alternative moving route, or issues a scheduling notification for other mobile terminals.

[0082] Specifically, in this embodiment, when there is at least one alternative moving route that meets the requirements and the mobile terminal can reach the emergency terminal on time along the alternative moving route, the instruction layer issues a change notification to the mobile terminal for the alternative moving route; when several alternative moving routes do not meet the requirements, the instruction layer issues a scheduling notification to other mobile terminals.

[0083] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0084] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. An Internet of Things-based power emergency repair location monitoring system, characterized in that: include: The emergency layer includes several emergency terminals that periodically send emergency information in the event of an emergency; The mobile layer includes several mobile terminals that periodically send location information; a transport layer, connected to the mobile layer and the emergency layer respectively, and comprising a plurality of transport units for transmitting the location information and the emergency information; a receiving layer connected to the transmission layer, configured to receive the location information and the emergency information transmitted by the transmission unit, and to generate a time node tag for the location information; a positioning layer connected to the receiving layer, and configured to monitor the mobile terminal and the emergency terminal in real time based on the position information and the emergency information received in real time; an analysis layer connected to the receiving layer and the positioning layer, respectively, and configured to determine whether the movement process of the mobile terminal meets the standard based on the real-time received location information, and, if it is determined that the movement process of the mobile terminal does not meet the standard, generate a corresponding correction method based on a determined cause; an instruction layer, connected to the transmission layer and the analysis layer respectively, for generating corresponding instructions based on the correction method generated by the analysis layer, and correcting the movement parameters of the mobile terminal or the determination criterion of the analysis layer according to the corresponding instructions; The analysis layer is further configured to determine a straight-line distance between the mobile terminal and the emergency terminal in each detection period based on the location information and the emergency information, and to determine a monitoring standard for the mobile terminal during movement based on the straight-line distance and the expected emergency repair period, wherein the monitoring standard includes a moving speed standard of the mobile terminal and a frequency of data interaction between the mobile terminal and the transport layer during the emergency repair process; The analysis layer is further configured to determine in real time a preset straight-line distance between the mobile terminal and the emergency terminal in each detection period based on the above information; The analysis layer is further configured to determine whether the movement process of the mobile terminal meets the standard based on a comparison result of the straight-line distance in the current detection period and the preset straight-line distance, or based on a comparison result of the actual travel distance of the mobile terminal and the shortened straight-line distance between the mobile terminal and the emergency terminal, and, if it is determined that the movement process of the mobile terminal does not meet the standard, determine the reason for non-compliance based on the straight-line distance difference, wherein the straight-line distance difference is the difference between the straight-line distance and the preset straight-line distance, and the actual travel distance is the distance traveled by the mobile terminal on the expected movement route; The reasons include: there is a delay when the location information sent by the mobile terminal is transmitted through the transport layer, or the moving speed of the mobile terminal does not meet the standard, or there is a problem with the expected moving route of the mobile terminal.

2. The power emergency repair location monitoring system based on the Internet of Things according to claim 1 is characterized in that: The analysis layer is further used to correct the speed adjustment coefficient based on a comparison result of the driving distance ratio with a preset driving distance ratio stored in the analysis layer to readjust the moving speed standard, or to determine the reason why the moving process of the mobile terminal does not meet the standard based on the straight-line distance difference, wherein the driving distance ratio is the ratio between the actual driving distance and the straight-line shortened distance.

3. The power emergency repair location monitoring system based on the Internet of Things according to claim 2 is characterized in that: The analysis layer is also used to generate a correction method for increasing the speed adjustment coefficient to a corresponding value to correct the moving speed standard based on a comparison result of the distance ratio difference and a pre-stored preset distance ratio difference, wherein the distance ratio difference is the difference between the driving distance ratio and the preset driving distance ratio, and the increase in the speed adjustment coefficient is proportional to the distance ratio difference.

4. The power emergency repair location monitoring system based on the Internet of Things according to claim 3 is characterized in that: The analysis layer is also used to determine the reason why the movement process of the mobile terminal does not meet the standards based on the comparison result of the straight-line distance difference and the pre-stored preset straight-line distance difference, and to generate a corresponding processing method based on the determined reason, including: correction of the data interaction frequency, correction of the speed adjustment coefficient, or controlling the instruction layer to send a notification for re-planning the expected movement route.

5. The power emergency repair location monitoring system based on the Internet of Things according to claim 4 is characterized in that: The analysis layer is also used to determine whether to increase the data interaction frequency to a corresponding value based on a comparison result of the distance difference change amount and a pre-stored preset distance difference change amount, wherein the distance difference change amount is the difference between the preset straight-line distance difference and the straight-line distance difference, and the increase in the data interaction frequency is proportional to the distance difference change amount.

6. The power emergency repair location monitoring system based on the Internet of Things according to claim 4 is characterized in that: The analysis layer is also used to determine whether the speed adjustment coefficient is increased to a corresponding value based on a comparison result of the second-order distance difference and a pre-stored preset second-order distance difference, and the increase in the speed adjustment coefficient is proportional to the second-order distance difference, wherein the second-order distance difference is the difference between the preset straight-line distance difference and the straight-line distance difference.

7. The power emergency repair location monitoring system based on the Internet of Things according to claim 4 is characterized in that: The analysis layer is also used to determine whether the speed adjustment coefficient needs to be corrected based on the comparison result of the variance of the mobile terminal's movement speed in the historical detection period and the pre-stored preset variance, or to determine the instruction layer to send a notification to re-plan the expected movement route.

8. The power emergency repair location monitoring system based on the Internet of Things according to claim 4 is characterized in that: The analysis layer is further configured to sequentially estimate expected time based on several alternative movement routes acquired by the mobile terminal to determine whether the instruction layer issues a change notification for the alternative movement routes, or issues a scheduling notification for other mobile terminals.

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