An adaptive weighted two-level near-electricity alarm system and method taking into account communication delay

Abstract

The present invention discloses an adaptive weighted two-level near-electric alarm method that takes communication delay into account. The method obtains local near-electric data, remote near-electric data, and a communication delay coefficient; calculates a local action threshold based on the local near-electric data; calibrates the remote near-electric data using the communication delay coefficient to obtain time-calibrated remote near-electric data and a time calibration result; calculates a remote action threshold based on the time-calibrated remote near-electric data; calculates a weighted threshold based on the local action threshold, remote action threshold, and time calibration result by introducing an entropy method based on variable weight theory; determines whether the weighted threshold exceeds a limit, and if so, issues an alarm. By utilizing the communication delay coefficient and introducing a variable weight formula, the weight of the weighted threshold is dynamically adjusted, thereby avoiding problems such as the failure of the alarm signal to provide timely feedback or premature braking of the braking device caused by delays, and effectively reducing operational risks at the construction site.

Description

Technical Field

[0001] The present invention relates to the field of near-electrical alarm, and in particular to an adaptive weighted two-level near-electrical alarm system and method taking communication delay into account. Background Art

[0002] With the improvement of modern industrialization, the scale of power grid construction has developed rapidly. However, the frequency of casualties and large-scale power outages caused by construction machinery being too close to high-voltage live equipment has also increased. The reasons for this are not only subjective factors such as construction workers' operational errors and weak awareness of prevention of high-voltage live equipment, but also objective factors such as certain drawbacks of existing proximity alarm devices.

[0003] Existing near-electric alarm technologies can be broadly categorized as local alarms and remote monitoring and coordinated local detection alarm control. Relying solely on local alarms can lead to issues such as difficulty detecting alarm signals due to noisy on-site environments, interference or loss of alarm signals due to harsh conditions, and fatigued on-site personnel. While a two-tiered system with a remote monitoring system offers improved reliability compared to local alarm systems, it also poses challenges such as delayed transmission of alarm information and premature braking of machinery due to excessive consideration of transmission delays.

[0004] Most existing alarm systems that combine the two are simply a combination of two control methods. They neither consider the errors caused by communication delays between the local and remote alarm systems, nor the information exchange between the two systems, so the actual application effect is limited. Summary of the Invention

[0005] In order to solve the above problems, the present invention proposes an adaptive weighted two-level near-electricity alarm system and method taking into account communication delay, which can realize two-level near-electricity alarm monitoring both on-site and remotely, improve safety and reliability, and reduce the risks brought by communication delay.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] An adaptive weighted two-level proximity alarm method taking into account communication delay acquires local proximity data, remote proximity data, and communication delay coefficient.

[0008] Calculate the local action threshold value according to the local power data;

[0009] The remote and near-time data are calibrated by the communication delay coefficient to obtain the time-calibrated remote and near-time data and the time calibration result;

[0010] Calculating a remote action threshold value based on the time-calibrated remote and near-current data;

[0011] Determine whether the local action threshold or the remote action threshold exceeds the limit. If so, calculate the weighted threshold by introducing the entropy method of the variable weight theory based on the local action threshold, the remote action threshold and the time calibration result;

[0012] Determine whether the weighted threshold exceeds the limit. If the weighted threshold exceeds the limit, an alarm is issued.

[0013] Preferably, the local power data includes the local power speed L 11 , Local electrical distance L 12 , Local power voltage level L 13 and the local electrical acceleration L 14 ;

[0014] The long-range near-electric data includes the long-range near-electric speed L 21 、Long-range short-range distance 22 , remote near-electric voltage level L 23 and long-range near-electric acceleration L 24 .

[0015] Preferably, the local action threshold is calculated based on the local power data, specifically including determining the weight of the local power data by an entropy method, and the formula is as follows:

[0016]

[0017] Where w i is the weight coefficient of the i-th local power data, d j is the entropy redundancy of the jth local power data, i = 1, 2, 3, 4, j = 1, 2, ..., m;

[0018] The local action threshold is calculated based on the weights, and the formula is as follows:

[0019] A=W1*L 11 +W2*L 12 +W3*L 13 +W4*L 14

[0020] Where A is the local action threshold.

[0021] Preferably, the remote near-electric data is calibrated by the communication delay coefficient to obtain the remote near-electric data after calibration and the calibration result, specifically including: the communication delay coefficient is the transmission delay, and the remote near-electric distance L in the remote near-electric data is calibrated according to the communication delay coefficient. 22 ;

[0022] The remote electrical distance L 22 That is, the distance threshold, the timing result includes a lowered distance threshold and an increased distance threshold;

[0023] When the communication delay coefficient is higher than a set value, the distance threshold is lowered to obtain a lowered distance threshold, and when the communication delay coefficient is lower than the set value, the distance threshold is raised to obtain an raised distance threshold.

[0024] Preferably, the remote action threshold is calculated based on the time-calibrated remote and near-call data, specifically including determining the weight of the remote and near-call data by an entropy method, and the formula is as follows:

[0025]

[0026] Where z i is the weight coefficient of the i-th remote and near-field data, f j is the entropy redundancy of the jth remote and near-field data, i = 1, 2, 3, 4, j = 1, 2, ..., m;

[0027] The remote action threshold is calculated based on the weights, and the formula is as follows:

[0028] B=Z1*L 21 +Z2*L 22 +Z3*L 23 +Z4*L 24

[0029] Where B is the remote action threshold.

[0030] Preferably, the weighted threshold is calculated based on the local action threshold, the remote action threshold and the time calibration result by introducing the entropy method of the variable weight theory. Specifically, the local action threshold and the remote action threshold are calculated by the entropy method to obtain constant weight coefficients of the local action threshold and the remote action threshold, which are denoted as c1 and c2 respectively. The formula is as follows:

[0031]

[0032] Where c i Constant weight coefficient, g j is the j-th entropy redundancy, i = 1, 2, j = 1, 2, ..., m;

[0033] The score is obtained based on the time calibration result. The higher the time calibration result, the lower the score, and the lower the time calibration result, the higher the score.

[0034] Based on the variable weight theory, the weight coefficients are adjusted in real time, and the variable weight coefficients of the local action threshold and the remote action threshold are recorded as The variable weight formula is as follows:

[0035]

[0036] is the variable weight coefficient, xi is the score value, c i is a constant weight coefficient;

[0037] The weighted threshold is obtained by changing the weight coefficient. The formula is as follows:

[0038]

[0039] Where C is the weighted threshold.

[0040] Preferably, the determining whether the weighted threshold exceeds a limit, and if the weighted threshold exceeds a limit, issuing an alarm, specifically includes executing an audible and visual alarm and an emergency braking operation.

[0041] An adaptive weighted two-level proximity alarm system taking into account communication delay, a signal acquisition unit for acquiring local proximity data, remote proximity data and communication delay coefficient;

[0042] The single chip microcomputer unit calculates the local action threshold value according to the local power data and determines whether the local action threshold value exceeds the limit;

[0043] A timing unit, configured to calibrate the remote and near-time data using the communication delay coefficient to obtain the calibrated remote and near-time data and a timing result;

[0044] The remote monitoring unit calculates a remote action threshold value based on the time-calibrated remote near-current data and determines whether the remote action threshold value exceeds a limit;

[0045] A dynamic weighting unit calculates a weighted threshold value by introducing an entropy method of a weighting theory according to the local action threshold value, the remote action threshold value and the time calibration result;

[0046] The alarm braking unit determines whether the weighted threshold exceeds the limit. If the weighted threshold exceeds the limit, an alarm is issued.

[0047] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements an adaptive weighted two-level near-electricity alarm method taking communication delay into account.

[0048] An electronic device includes a processor and a memory, wherein the memory stores at least one instruction, and the instruction stored in the memory is executed to implement an adaptive weighted two-level near-power alarm method taking into account communication delay.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] The present invention discloses an adaptive weighted two-level near-electric alarm method that takes communication delay into account. The method obtains local near-electric data, remote near-electric data, and a communication delay coefficient; calculates a local action threshold based on the local near-electric data; calibrates the remote near-electric data using the communication delay coefficient to obtain time-calibrated remote near-electric data and a time calibration result; calculates a remote action threshold based on the time-calibrated remote near-electric data; calculates a weighted threshold based on the local action threshold, remote action threshold, and time calibration result by introducing an entropy method based on variable weight theory; determines whether the weighted threshold exceeds a limit, and if so, issues an alarm. By utilizing the communication delay coefficient and introducing a variable weight formula, the weight of the weighted threshold is dynamically adjusted, thereby avoiding problems such as the failure of the alarm signal to provide timely feedback or premature braking of the braking device caused by delays, and effectively reducing operational risks at the construction site.

[0051] Furthermore, the present invention performs sound and light alarms and emergency braking operations when an alarm is sounded. When the distance from the live equipment is certain, the sound and light alarms can be used to remind the workers that there is a danger of live objects, which can effectively attract the attention of the workers. At the same time, the emergency braking operation can stop the construction machinery, avoiding casualties caused by the construction machinery being too close to high-voltage live equipment.

[0052] Furthermore, the present invention discloses an adaptive weighted two-level near-electrical alarm system taking into account communication delay. By adding a two-level coordination of a remote monitoring system taking into account transmission delay to the on-site alarm system, the two-level near-electrical alarm system has the reliability and safety of a near-electrical alarm system with coordinated control of remote monitoring and on-site detection alarm. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 The present invention is a flow chart of a two-level power proximity alarm system and method with adaptive weights taking into account communication delay.

[0054] Figure 2 The flowchart of a two-level power-prone alarm method with adaptive weights taking into account communication delay is shown.

[0055] Figure 3 This is a flow chart of an adaptive weighted two-level near-electricity alarm system taking into account communication delay. DETAILED DESCRIPTION

[0056] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings 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 making creative efforts shall fall within the scope of protection of the present invention.

[0057] It should be noted that, unless there is any conflict, the embodiments and features in the embodiments of this application can be combined with each other.

[0058] The present invention may be described in the general context of computer-executable instructions, such as program modules, executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform specific tasks or implement specific abstract data types. The present invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media, including storage devices.

[0059] In the present invention, "module", "device", "system" and the like refer to related entities applied to a computer, such as hardware, a combination of hardware and software, software or software in execution, etc. Specifically, for example, an element can be, but is not limited to, a process running on a processor, a processor, an object, an executable element, an execution thread, a program and / or a computer. In addition, an application or script program running on a server, or a server can all be an element. One or more elements can be in an execution process and / or thread, and an element can be localized on a computer and / or distributed between two or more computers, and can be run by various computer-readable media. An element can also communicate through local and / or remote processes based on a signal having one or more data packets, for example, a signal from a data packet interacting with another element in a local system, a distributed system, and / or a signal from a network on the Internet that interacts with other systems via signals.

[0060] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "include" and "comprise" include not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article or device. In the absence of further limitations, the elements defined by the phrase "include..." do not exclude the presence of other identical elements in the process, method, article or device that includes the elements.

[0061] An adaptive weighted two-level near-electricity alarm method taking into account communication delay, see Figure 2 , obtain local near-electricity data, remote near-electricity data and communication delay coefficient;

[0062] Calculate the local action threshold value according to the local power data;

[0063] The remote and near-time data are calibrated by the communication delay coefficient to obtain the time-calibrated remote and near-time data and the time calibration result;

[0064] Calculating a remote action threshold value based on the time-calibrated remote and near-current data;

[0065] Determine whether the local action threshold or the remote action threshold exceeds the limit. If so, calculate the weighted threshold by introducing the entropy method of the variable weight theory based on the local action threshold, the remote action threshold and the time calibration result;

[0066] Determine whether the weighted threshold exceeds the limit. If the weighted threshold exceeds the limit, an alarm is issued.

[0067] Acquire spherical electric field sensor data and on-site GPS positioning and other monitoring information, and process the information into local near-field electric data and remote near-field electric data.

[0068] By utilizing the communication delay coefficient and introducing a variable weight formula, the remote and on-site related data are comprehensively calculated, and the weight of the weighted threshold is dynamically adjusted. This avoids problems such as the alarm signal not being able to be fed back in time or the braking device being braked too early due to delays, and effectively reduces the operational risks at the construction site.

[0069] In the specific embodiment of the present invention, please refer to Figure 2 The local power data includes the local power speed L 11 , Local electrical distance L 12 , Local power voltage level L 13 and the local electrical acceleration L 14 ;

[0070] The long-range near-electric data includes the long-range near-electric speed L 21 、Long-range short-range distance 22 , remote near-electric voltage level L 23 and long-range near-electric acceleration L 24 .

[0071] Local power speed L 11 and long-range near-electric speed L 21 is the speed of the construction machinery, the local proximity distance L 12 and long-range electrical distance L 22 It is the distance between the construction machinery and the live equipment, and the local voltage level L 13 and remote near-electric voltage level L 23 is the electric field voltage of the charged equipment, the local electric acceleration L 14 and long-range near-electric acceleration L 24 is the acceleration of the construction machinery.

[0072] Introducing local power speed L11 , Local electrical distance L 12 , Local power voltage level L 13 , local electrical acceleration L 14 , long-range near-electric speed L 21 、Long-range short-range distance 22 , remote near-electric voltage level L 23 , and long-range near-electric acceleration L 24 A total of 8 types of data are used as evaluation indicators to realize two-level local and remote near-electricity alarm monitoring.

[0073] In the specific embodiment of the present invention, please refer to Figure 2 The local action threshold value is calculated based on the local power data, specifically including: the local action threshold value is calculated based on the local power data, specifically including: determining the weight of the local power data by an entropy method, the formula is as follows:

[0074]

[0075] Where w i is the weight coefficient of the i-th local power data, d j is the entropy redundancy of the jth local power data, i = 1, 2, 3, 4, j = 1, 2, ..., m;

[0076] The local action threshold is calculated based on the weights, and the formula is as follows:

[0077] A=W1*L 11 +W2*L l2 +W3*L 13 +W4*L 14

[0078] Where A is the local action threshold.

[0079] The entropy method is a method for determining weights by calculating entropy values. It is mainly used in fields such as grey relational analysis, entropy models, and multi-attribute decision-making. Its basic idea is to measure the contribution of each component by comparing the uncertainty of each component and the correlation between them, thereby determining its weight.

[0080] The advantage of the entropy method is that it is based on uncertainty and can conduct a systematic and comprehensive assessment based on factors such as the correlation and contribution of each component, thereby accurately determining the weight of each component. At the same time, the entropy method can also more clearly demonstrate the connection between each component, making the system's decision-making more reasonable and effective.

[0081] In the specific embodiment of the present invention, please refer to Figure 2, the remote near-electric data is calibrated by the communication delay coefficient to obtain the remote near-electric data and the calibration result after calibration, specifically including: the communication delay coefficient is the transmission delay, that is, the time interval between the wireless communication module and the remote monitoring system receiving and sending a calibration signal, and the remote near-electric distance L in the remote near-electric data is calibrated according to the communication delay coefficient 22 ;

[0082] The remote proximity distance is a distance threshold, and the timing result includes a lowered distance threshold and an increased distance threshold;

[0083] When the communication delay coefficient is higher than a set value, the distance threshold is lowered to obtain a lowered distance threshold, and when the communication delay coefficient is lower than the set value, the distance threshold is raised to obtain an raised distance threshold.

[0084] In order to reduce the impact of transmission delays on data reception delays, alarm signal issuance delays or emergency braking errors, the remote monitoring system adds the above-mentioned dynamic calibration operation, namely "time calibration", when setting the alarm distance threshold.

[0085] In the specific embodiment of the present invention, please refer to Figure 2 The calculation of the remote action threshold based on the remote and near-remote call data specifically includes determining the weight of the remote and near-remote call data by an entropy method, and the formula is as follows:

[0086]

[0087] Where z i is the weight coefficient of the i-th remote and near-field data, f j is the entropy redundancy of the jth remote and near-field data, i = 1, 2, 3, 4, j = 1, 2, ..., m;

[0088] The remote action threshold is calculated based on the weights, and the formula is as follows:

[0089] B=Z1*L 21 +Z2*L 22 +Z3*L 23 +Z4*L 24

[0090] Where B is the remote action threshold.

[0091] In the specific embodiment of the present invention, please refer to Figure 2 According to the local action threshold, remote action threshold and time calibration result, the weighted threshold is calculated by introducing the entropy method of variable weight theory. Specifically, the local action threshold and the remote action threshold are calculated by the entropy method to obtain the constant weight coefficients of the local action threshold and the remote action threshold, which are denoted as c1 and c2 respectively. The formula is as follows:

[0092]

[0093] Where c i Constant weight coefficient, g j is the j-th entropy redundancy, i = 1, 2, j = 1, 2, ..., m;

[0094] The score is obtained based on the time calibration result. The higher the time calibration result, the lower the score, and the lower the time calibration result, the higher the score.

[0095] Based on the variable weight theory, the weight coefficients are adjusted in real time, and the variable weight coefficients of the local action threshold and the remote action threshold are recorded as The variable weight formula is as follows:

[0096]

[0097] is the variable weight coefficient, x i is the score value, c i is a constant weight coefficient;

[0098] The weighted threshold is obtained by changing the weight coefficient. The formula is as follows:

[0099]

[0100] Where C is the weighted threshold.

[0101] The variable weight theory is introduced to appropriately adjust the weight coefficients. The introduction of the variable weight theory enables real-time adjustment of the weight coefficients of each evaluation status factor, which can reflect the balance of the status of each factor in the comprehensive evaluation and solve the problem of the difference between the evaluation results and the actual operating status caused by the changes of the evaluation factors with smaller weights.

[0102] The variable weight formula reflects the balance of the various factors in the comprehensive evaluation, that is, it can accurately reflect the weight of each local and remote data in the two-level local alarm system. The communication delay coefficient is calculated by measuring the transmission time between the on-site and remote monitoring center. Combined with the project vehicle's movement direction and posture predicted using monitoring information, when the transmission delay is high, the action weight of the local alarm signal is increased to leave time margin for the transmission signal. Otherwise, the action weight of the remote alarm signal is increased.

[0103] Avoid false alarms caused by premature alarm signals. Ultimately, avoid problems such as untimely alarms or premature braking caused by transmission delays.

[0104] In a specific embodiment of the present invention, the determination of whether a weighted threshold has been exceeded and, if so, an alarm is issued, specifically including the execution of an audible and visual alarm and an emergency brake operation. When a worker is within a certain distance of a live device, an audible and visual alarm can be used to alert the worker to the danger of a live device, effectively drawing the worker's attention. Simultaneously, an emergency brake operation can be used to stop the construction machinery, thereby preventing casualties caused by the construction machinery being too close to the high-voltage live device.

[0105] An adaptive weighted two-level near-electricity alarm system taking into account communication delay, see Figure 3 , a signal acquisition unit, used to obtain local near-electricity data, remote near-electricity data and communication delay coefficient;

[0106] A single chip microcomputer unit is used to calculate a local action threshold value based on the local power data and to determine whether the local action threshold value exceeds a limit;

[0107] A timing unit, configured to calibrate the remote and near-time data using the communication delay coefficient to obtain the calibrated remote and near-time data and a timing result;

[0108] A remote monitoring unit, configured to calculate a remote action threshold value based on the time-calibrated remote near-current data and determine whether the remote action threshold value exceeds a limit;

[0109] A dynamic weighting unit, configured to calculate a weighted threshold value based on the local action threshold value, the remote action threshold value, and the time calibration result by introducing an entropy method based on the weighting theory;

[0110] The alarm braking unit is used to determine whether the weighted threshold exceeds the limit. If the weighted threshold exceeds the limit, an alarm is issued.

[0111] The signal acquisition unit is capable of acquiring data and signal conditioning. The data is acquired through the electric field measurement sensor, which uses a spherical sensor and can reflect the actual distance from the high-voltage electric field by measuring the corresponding induced current. The monitoring sensor uses GPS positioning, angle sensor and other modules, which can realize real-time monitoring of the specific position and posture of the engineering vehicle. The spherical electric field sensor data and on-site GPS positioning and other monitoring information are acquired, and the acquired on-site information is conditioned by the conditioning circuit and converted into an amplitude-frequency signal suitable for transmission to obtain local near-electricity data and remote near-electricity data. The data is transmitted through the wireless module and sent to the single-chip computer unit and the remote monitoring unit respectively.

[0112] The signal is sent to the single-chip unit, and the local alarm system receives the relevant data information. The single-chip unit calculates the factor weights of the local power data according to the entropy method, and then obtains the local action threshold of the local alarm. The local action threshold is then transmitted to the on-site single-chip alarm system for processing and identification;

[0113] The signal sent to the remote monitoring unit must first be adjusted through time calibration to adjust the distance threshold, that is, to calibrate the distance and proximity data. The remote monitoring unit calculates the factor weights of the remote proximity data using the entropy method to obtain the remote action threshold of the remote alarm system, determines whether the limit is exceeded, and sends an alarm message. At the same time, the time calibration result is attached and sent in real time to the on-site alarm system based on the single-chip microcomputer for processing and identification;

[0114] The dynamic variable weight unit will adjust the discrimination weights of the alarm information transmitted by the remote alarm system and the local alarm system in real time based on the obtained time calibration results and use the entropy method of the variable weight theory to obtain the weighted threshold;

[0115] The alarm braking unit determines whether the weighted threshold reaches the set alarm threshold. If the judgment criterion is met, the corresponding voice alarm and emergency braking operations can be executed;

[0116] The alarm and brake unit, comprised of an audible and visual alarm system and an emergency brake, activates both audible and visual alarms and emergency braking upon receipt of an alarm command from the data processing and identification unit or an alarm signal from the remote monitoring system. Combining both the local and remote power proximity alarm systems, the local alarm system, installed in the operator's cab, generates an audible and visual alarm when a mechanical vehicle comes too close to an AC high-voltage transmission line. Furthermore, the remote monitoring system relays the vehicle's exact location to supervisors in real time.

[0117] The coordination of local control and remote monitoring significantly improves safety and reliability. When a noisy construction environment causes on-site workers to neglect control, or when a harsh on-site environment causes alarm signals to be lost, the remote monitoring system can provide remote assistance. When the remote monitoring system fails to promptly alert on-site workers due to signal transmission delays, the local alarm system can also provide timely alerts.

[0118] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements an adaptive weighted two-level near-electricity alarm method taking communication delay into account.

[0119] An electronic device comprises a processor and a memory, wherein the memory stores at least one instruction, and the instruction stored in the memory is executed to implement an adaptive weighted two-level near-power alarm method taking into account communication delay.

[0120] In the specific embodiment of the present invention, please refer to Figure 1, obtains spherical electric field sensor data and on-site GPS positioning and other monitoring information, and after processing by the signal conditioning circuit, transmits the signal to the on-site alarm system's single chip microcomputer and transmits it to the remote monitoring system in the remote control room through the wireless communication module;

[0121] The signal transmitted to the monitoring room by the wireless communication module is processed and identified by the remote monitoring system. The transmission delay is obtained by the operation of sending and receiving the timing signal between the on-site wireless communication module and the remote monitoring system. The remote monitoring system further adjusts the distance threshold through "time calibration" and then calculates the factor weights of the remote near-electric data according to the entropy method to obtain the remote action threshold of the remote alarm system. At the same time, the additional timing result is transmitted to the on-site alarm system in real time to determine whether it exceeds the limit. If it does not exceed the limit, the remote monitoring system is instructed to process and identify the new remote on-site data. If it exceeds the limit, the alarm information with the additional timing result is sent to the wireless communication module, and the alarm information with the additional timing result is transmitted to the on-site single-chip microcomputer-based alarm system through the wireless communication module.

[0122] The signal transmitted to the MCU is received by the local alarm system. The MCU calculates the factor weights of the local power data according to the entropy method, and then obtains the local action threshold of the local alarm. The local action threshold is then transmitted to the MCU-based alarm system on site.

[0123] Finally, the on-site single-chip microcomputer-based alarm system will adjust the discrimination weights of the alarm information transmitted by the remote alarm system and the local alarm system in real time according to the obtained time calibration results and variable weight theory, calculate the weighted threshold, and judge whether the weighted threshold reaches the set alarm threshold. If the alarm threshold is not reached, the single-chip microcomputer-based alarm system will calculate and adjust the discrimination weights of the new alarm information transmitted by the remote alarm system and the local alarm system. If the alarm threshold is reached, the corresponding voice alarm and emergency braking operations will be executed.

[0124] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0125] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0126] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0127] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. An adaptive weighted two-level near-electricity alarm method taking into account communication delay, characterized in that: Obtain local near-field data, remote near-field data and communication delay coefficient; Calculate the local action threshold value according to the local power data; The remote and near-time data are calibrated by the communication delay coefficient to obtain the time-calibrated remote and near-time data and the time calibration result; Calculating a remote action threshold value based on the time-calibrated remote and near-current data; Determine whether the local action threshold or the remote action threshold exceeds the limit. If so, calculate the weighted threshold by introducing the entropy method of the variable weight theory based on the local action threshold, the remote action threshold and the time calibration result; Determine whether the weighted threshold exceeds the limit. If the weighted threshold exceeds the limit, an alarm is issued.

2. The adaptive weighted two-level near-electricity alarm method taking into account communication delay according to claim 1 is characterized in that: The local power data includes the local power speed L 11 , Local proximity distance L 12 , Local power voltage level L 13 and the local electrical acceleration L 14 ; The long-range near-electric data includes the long-range near-electric speed L 21 、Long-range short-range distance 22 , remote near-electric voltage level L 23 and long-range near-electric acceleration L 24 .

3. The adaptive weighted two-level near-electricity alarm method taking into account communication delay according to claim 2 is characterized in that: The local action threshold is calculated based on the local power data, specifically including determining the weight of the local power data by an entropy method, and the formula is as follows: Where w i is the weight coefficient of the ith local power data, d j is the entropy redundancy of the jth local power data, i = 1, 2, 3, 4, j = 1, 2, ..., m; The local action threshold is calculated based on the weights, and the formula is as follows: <h2 style=";text-align:left;direction:ltr">A = w1 * L<h2 style=";text-align:left;direction:ltr"> 11 <h2 style=";text-align:left;direction:ltr"> +w2*L<h2 style=";text-align:left;direction:ltr"> 12 <h2 style=";text-align:left;direction:ltr"> +w3*L<h2 style=";text-align:left;direction:ltr"> 13 <h2 style=";text-align:left;direction:ltr"> +w4*L<h2 style=";text-align:left;direction:ltr"> 14 Where A is the local action threshold.

4. The adaptive weighted two-level near-electricity alarm method taking into account communication delay according to claim 1 is characterized in that: The remote and near electric data are calibrated by the communication delay coefficient to obtain the remote and near electric data after calibration and the calibration result, specifically including: the communication delay coefficient is the transmission delay, and the remote and near electric distance L in the remote and near electric data is calibrated according to the communication delay coefficient. 22 ; The remote electrical distance L 22 That is, the distance threshold, the timing result includes a lowered distance threshold and an increased distance threshold; When the communication delay coefficient is higher than a set value, the distance threshold is lowered to obtain a lowered distance threshold, and when the communication delay coefficient is lower than the set value, the distance threshold is raised to obtain an raised distance threshold.

5. The adaptive weighted two-level near-electricity alarm method taking into account communication delay according to claim 2 is characterized in that: The remote action threshold is calculated based on the time-calibrated remote and near-call data, specifically including determining the weight of the remote and near-call data by an entropy method, and the formula is as follows: Where z i is the weight coefficient of the i-th remote and near-field data, f j is the entropy redundancy of the jth remote and near-field data, i = 1, 2, 3, 4, j = 1, 2, ..., m; The remote action threshold is calculated based on the weights, and the formula is as follows: B=z1*L 21 +z2*L 22 +z3*L 23 +z4*L 24 Where B is the remote action threshold.

6. The adaptive weighted two-level near-electricity alarm method taking into account communication delay according to claim 1 is characterized in that: According to the local action threshold, remote action threshold and time calibration result, the weighted threshold is calculated by introducing the entropy method of variable weight theory. Specifically, the local action threshold and the remote action threshold are calculated by the entropy method to obtain the constant weight coefficients of the local action threshold and the remote action threshold, which are denoted as c1 and c2 respectively. The formula is as follows: Where c i Constant weight coefficient, g j is the j-th entropy redundancy, i = 1, 2, j = 1, 2, ..., m; The score is obtained based on the time calibration result. The higher the time calibration result, the lower the score, and the lower the time calibration result, the higher the score. Based on the variable weight theory, the weight coefficients are adjusted in real time, and the variable weight coefficients of the local action threshold and the remote action threshold are recorded as The variable weight formula is as follows: is the variable weight coefficient, x i is the score value, c i is a constant weight coefficient; The weighted threshold is obtained by changing the weight coefficient. The formula is as follows: Where C is the weighted threshold.

7. The adaptive weighted two-level near-electricity alarm method taking into account communication delay according to claim 1 is characterized in that: The determining whether the weighted threshold exceeds the limit, and if the weighted threshold exceeds the limit, issuing an alarm, specifically including executing an audible and visual alarm and an emergency braking operation.

8. An adaptive weighted two-level proximity alarm system taking into account communication delay, characterized in that: A signal acquisition unit, used to obtain local near-field data, remote near-field data and communication delay coefficient; The single chip microcomputer unit calculates the local action threshold value according to the local power data and determines whether the local action threshold value exceeds the limit; A timing unit, configured to calibrate the remote and near-time data using the communication delay coefficient to obtain the calibrated remote and near-time data and a timing result; The remote monitoring unit calculates a remote action threshold value based on the time-calibrated remote near-current data and determines whether the remote action threshold value exceeds a limit; A dynamic weighting unit calculates a weighted threshold value by introducing an entropy method of a weighting theory according to the local action threshold value, the remote action threshold value and the time calibration result; The alarm braking unit determines whether the weighted threshold exceeds the limit. If the weighted threshold exceeds the limit, an alarm is issued.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, implements an adaptive weighted two-level near-electricity alarm method taking communication delay into account according to any one of claims 1 to 7.

10. An electronic device, characterized in that: The invention comprises a processor and a memory, wherein the memory stores at least one instruction, and the instruction stored in the memory is executed to implement the adaptive weighted two-level near-electricity alarm method taking into account the communication delay as described in any one of claims 1 to 7.

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