CN117110746B - Super station fault location detection management system based on cloud platform - Google Patents
Super station fault location detection management system based on cloud platform Download PDFInfo
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Abstract
The invention discloses a cloud platform-based supercharge station fault location detection management system, relates to the technical field of supercharge station fault management, and solves the technical problems that in the prior art, after a supercharge station is put into use, the period before and after operation cannot be analyzed, so that fault location detection cannot be accurately performed, the operation environment analysis is performed on the period before operation, and whether the influence exists on the supercharge station operation environment in the period before operation is judged, so that the positioning analysis is performed on the supercharge station fault, and the pertinence of the supercharge station fault maintenance is facilitated; analyzing the operation of the super-charging station equipment in the period before the operation, and judging whether the operation of the super-charging station equipment in the period before the operation is qualified, so that the reduction of the charging efficiency caused by the operation failure of the super-charging station equipment is avoided, and meanwhile, the operation failure is subjected to positioning detection, so that the operation and maintenance efficiency of the super-charging station failure is improved; and (3) performing charging execution analysis on the super-charging station in the post-operation period, and judging whether the charging execution in the post-operation period has risks when the pre-operation period is not abnormal.
Description
Technical Field
The invention relates to the technical field of fault management of a super-charging station, in particular to a cloud platform-based fault positioning detection management system of the super-charging station.
Background
An electric vehicle (BEV) is a vehicle which takes a vehicle-mounted power supply as power and drives wheels to run by a motor, and meets various requirements of road traffic and safety regulations; because the influence on the environment is smaller than that of a traditional automobile, the super-charging station is a super-charging station and is used for charging the electric automobile.
However, in the prior art, after the super-charging station is put into use, the time period before and after operation cannot be analyzed, so that fault location detection cannot be accurately performed, the operation efficiency of the super-charging station is reduced, and meanwhile, the super-charging station cannot be charged for performing analysis, so that the fault detection efficiency is reduced.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems and provides a super-charging station fault location detection management system based on a cloud platform.
The aim of the invention can be achieved by the following technical scheme:
the super-charging station fault location detection management system based on the cloud platform comprises a location detection platform, wherein the location detection platform performs fault location detection on the super-charging station, divides the operation period of the super-charging station into a pre-operation period and a post-operation period according to the operation time of the super-charging station, and is in communication connection with a service environment analysis unit, an equipment operation analysis unit, a charging execution analysis unit and an operation analysis evaluation unit;
the using environment analysis unit is used for carrying out using environment analysis on the period before operation, obtaining using environment analysis coefficients in the super-charging station in the period before operation, comparing and generating environment high risk signals or environment low risk signals according to the using environment analysis coefficients, and sending the environment high risk signals or environment low risk signals to the positioning detection platform;
the equipment operation analysis unit analyzes the operation of the super-charging station equipment in the period before operation, generates an equipment high risk signal and an equipment low risk signal through analysis, and sends the equipment high risk signal and the equipment low risk signal to the positioning detection platform; the electric execution analysis unit performs charging execution analysis on the super-charging station in the period after operation, generates a charging execution high-risk signal and a charging execution low-risk signal through analysis, and sends the signals to the positioning detection platform; and the positioning detection platform performs targeted fault maintenance of the super-charging station according to the received signal type, and performs fault positioning detection and evaluation on the super-charging station through the operation analysis and evaluation unit.
As a preferred embodiment of the invention, the operation of the usage environment analysis unit is as follows:
acquiring the rising speed of the temperature of the super-charging station equipment in the super-charging station current use peak period and the maximum rising amount of the temperature rising speed of the super-charging station equipment in the super-charging station use environment, and marking the rising speed of the temperature of the super-charging station equipment in the super-charging station current use peak period and the maximum rising amount of the temperature rising speed of the super-charging station equipment in the super-charging station use environment as WSS and TSL respectively; acquiring an average span value of the rising speed of the environmental temperature of the current area of the super-charging station in a period before operation, and marking the average span value of the rising speed of the environmental temperature of the current area of the super-charging station in the period before operation as PKD; acquiring a use environment analysis coefficient G in the super-charging station in a period before operation through a formula; the in-use environment analysis coefficient G in the super-charging station in the pre-operation period is compared with the use environment analysis coefficient threshold value.
As a preferred embodiment of the present invention, the formula is:wherein v1, v2 and v3 are preset proportionality coefficients, v1 > v2 > v3 > 0, e is a natural constant, alpha is an error correction factor, and the value is 0.986.
As a preferred embodiment of the present invention, if the usage environment analysis coefficient G in the super-charging station exceeds the usage environment analysis coefficient threshold value in the pre-operation period, determining that the usage environment is high risk in the pre-operation period, generating an environment high risk signal, and transmitting the environment high risk signal to the positioning detection platform; if the usage environment analysis coefficient G in the super-charging station in the period before operation does not exceed the usage environment analysis coefficient threshold value, determining that the usage environment in the period before operation is low in risk, generating an environment low risk signal and sending the environment low risk signal to the positioning detection platform.
As a preferred embodiment of the invention, the operation of the device operation analysis unit is as follows:
the method comprises the steps of obtaining a temperature floating quantity deviation value of the super-charging station equipment corresponding to peak operation time and non-peak operation time in a pre-operation period and an increase of the temperature rise speed of the super-charging station equipment when the super-charging station equipment is in peak operation time at different moments in the pre-operation period, and comparing the temperature floating quantity deviation value of the super-charging station equipment corresponding to the peak operation time and the non-peak operation time in the pre-operation period and the increase of the temperature rise speed of the super-charging station equipment when the super-charging station equipment is in peak operation time at different moments in the pre-operation period with a temperature floating quantity deviation value threshold and a temperature rise speed increase threshold respectively.
As a preferred implementation mode of the invention, if the temperature floating amount deviation value of the super-charging station equipment corresponding to the peak operation time and the non-peak operation time in the pre-operation period exceeds the temperature floating amount deviation value threshold, or the increase of the temperature rise speed of the super-charging station equipment exceeds the temperature rise speed increase threshold when the super-charging station equipment is in the peak operation time at different times in the pre-operation period, generating an equipment high risk signal and transmitting the equipment high risk signal to a positioning detection platform;
if the temperature floating quantity deviation value of the super-charging station equipment corresponding to the peak operation time and the non-peak operation time in the pre-operation period does not exceed the temperature floating quantity deviation value threshold value, and the temperature rise speed increase quantity of the super-charging station equipment in the peak operation time at different times in the pre-operation period does not exceed the temperature rise speed increase quantity threshold value, generating an equipment low risk signal and transmitting the equipment low risk signal to the positioning detection platform.
As a preferred embodiment of the present invention, the operation of the charge execution analysis unit is as follows:
the method comprises the steps of obtaining the overlapping time length of the current operation peak value operation time period and the environment temperature continuous temperature rise time period of the super-charging station equipment in the operation time period and the continuous operation time length when the operation temperature of the super-charging station equipment in the operation time period is at the peak value, and comparing the overlapping time length of the current operation peak value operation time period and the environment temperature continuous temperature rise time period of the super-charging station equipment in the operation time period and the continuous operation time length when the operation temperature of the super-charging station equipment in the operation time period is at the peak value with an overlapping time length threshold and a continuous operation time length threshold respectively.
As a preferred embodiment of the invention, if the overlapping time of the current operation peak value operation time period and the environment temperature continuous temperature rise time period of the super-charging station equipment in the post-operation time period exceeds the overlapping time threshold, or the continuous operation time period when the operation temperature of the super-charging station equipment is at the peak value in the post-operation time period exceeds the continuous operation time threshold, generating a charging execution high risk signal and sending the charging execution high risk signal to the positioning detection platform; if the overlapping time of the current operation peak value operation time period and the environment temperature continuous temperature rise time period of the super-charging station equipment in the post-operation time period does not exceed the overlapping time threshold, and the continuous operation time period of the super-charging station equipment operation temperature in the post-operation time period is at the peak value does not exceed the continuous operation time threshold, generating a charging execution low risk signal and sending the charging execution low risk signal to the positioning detection platform.
As a preferred embodiment of the invention, if the fault moment of the super-charging station is within the threshold value range of the running start set duration, the fault positioning time period is determined by the time period before running, and the super-charging station is analyzed and targeted fault positioning is performed; if the fault moment of the super-charging station exceeds the threshold range of the set time length of starting operation, the fault positioning time period is mainly the time period after operation, the analysis of the time period before operation corresponding to the current time period after operation is normal, the fault positioning detection is not carried out, otherwise, the analysis of the time period before operation corresponding to the current time period after operation is abnormal, and after the fault positioning detection of the time period after operation is completed, the influence sampling inspection is carried out on the time period before operation.
As a preferred embodiment of the invention, the operation of the analysis and evaluation unit is as follows:
the method comprises the steps of obtaining the floating quantity of the sustainable operation duration corresponding to the fault operation before and after the fault operation in the operation period of the super-charging station and the shortest interval duration corresponding to the fault operation in the same charge execution process in the operation period of the super-charging station, and comparing the floating quantity with the floating quantity threshold of the operation duration and the threshold of the shortest interval duration respectively:
if the floating quantity of the sustainable operation duration before and after the fault operation in the operation period of the super-charging station exceeds the floating quantity threshold of the operation duration, or the shortest interval duration corresponding to the fault operation in the same charge execution process in the operation period of the super-charging station does not exceed the threshold of the shortest interval duration, generating an operation evaluation inefficiency signal and transmitting the operation evaluation inefficiency signal to a positioning detection platform; if the floating quantity of the sustainable operation duration before and after the fault operation in the operation period of the super-charging station does not exceed the floating quantity threshold of the operation duration, and the shortest interval duration corresponding to the fault operation in the same charge execution process in the operation period of the super-charging station exceeds the threshold of the shortest interval duration, generating an operation evaluation high-efficiency signal and transmitting the operation evaluation high-efficiency signal to the positioning detection platform.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, the operation environment analysis is carried out on the period before operation, and whether the operation environment of the super-charging station in the period before operation is influenced is judged, so that the positioning analysis is carried out on the fault of the super-charging station, and the pertinence of the fault maintenance of the super-charging station is facilitated; and analyzing the operation of the super-charging station equipment in the period before the operation, and judging whether the operation of the super-charging station equipment in the period before the operation is qualified, so that the reduction of the charging efficiency caused by the operation failure of the super-charging station equipment is avoided, and meanwhile, the operation failure is subjected to positioning detection, so that the operation and maintenance efficiency of the super-charging station failure is improved.
2. According to the invention, the charging execution analysis is carried out on the super-charging station in the period after operation, whether the charging execution in the period after operation is at risk is judged when the period before operation is not abnormal, the abnormal charging equipment of the super-charging station caused by unqualified charging execution of the super-charging station is avoided, the charging efficiency is reduced, and the charging efficiency is ensured by charging execution detection and meanwhile, the accurate fault positioning detection can be carried out when the super-charging station is abnormal; the fault location detection evaluation is carried out on the super-charging station, whether the fault location detection efficiency of the super-charging station meets the actual operation requirement is judged, the problem that the operation efficiency of the super-charging station is affected due to low fault location efficiency of the super-charging station is avoided, meanwhile, the operation and maintenance cost of the super-charging station is increased, the operation and maintenance efficiency is reduced, the fault repetition of the super-charging station is easily caused, and the abrasion of the super-charging station equipment is increased.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a schematic block diagram of a fault location detection management system of a super-charging station based on a cloud platform.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, the fault location detection management system of the super-charging station based on the cloud platform comprises a location detection platform, wherein the location detection platform is in communication connection with a service environment analysis unit, an equipment operation analysis unit, a charging execution analysis unit and an operation analysis evaluation unit, and the location detection platform is in bidirectional communication connection with the service environment analysis unit, the equipment operation analysis unit, the charging execution analysis unit and the operation analysis evaluation unit;
in the operation process of the super-charging station, fault positioning detection is carried out on the super-charging station through a positioning detection platform, the operation time period of the super-charging station is divided into a pre-operation time period and a post-operation time period according to the operation time of the super-charging station, and the pre-operation time period and the post-operation time period are analyzed;
the positioning detection platform generates a service environment analysis signal and sends the service environment analysis signal to the service environment analysis unit, the service environment analysis unit analyzes the service environment in a period before operation after receiving the service environment analysis signal, and judges whether the service environment of the super-charging station in the period before operation has influence, so that the positioning analysis is carried out on the fault of the super-charging station, and the pertinence of fault maintenance of the super-charging station is facilitated;
acquiring the rising speed of the temperature of the super-charging station equipment in the super-charging station current use peak period and the maximum rising amount of the temperature rising speed of the super-charging station equipment in the super-charging station use environment, and marking the rising speed of the temperature of the super-charging station equipment in the super-charging station current use peak period and the maximum rising amount of the temperature rising speed of the super-charging station equipment in the super-charging station use environment as WSS and TSL respectively; acquiring an average span value of the rising speed of the environmental temperature of the current area of the super-charging station in a period before operation, and marking the average span value of the rising speed of the environmental temperature of the current area of the super-charging station in the period before operation as PKD;
by the formulaAcquiring an analysis coefficient G of the use environment in the super-charging station in a period before operation, wherein v1, v2 and v3 are preset proportional coefficients, v1 is more than v2 and more than v3 is more than 0, e is a natural constant, alpha is an error correction factor, and the value is 0.986;
comparing the usage environment analysis coefficient G in the super-charging station in the pre-operation period with a usage environment analysis coefficient threshold value:
if the use environment analysis coefficient G in the super-charging station exceeds the use environment analysis coefficient threshold value in the pre-operation period, judging that the use environment is high risk in the pre-operation period, generating an environment high risk signal and sending the environment high risk signal to the positioning detection platform; if the using environment analysis coefficient G in the super-charging station in the period before operation does not exceed the using environment analysis coefficient threshold value, determining that the using environment in the period before operation is low in risk, generating an environment low risk signal and sending the environment low risk signal to the positioning detection platform;
the device operation analysis unit analyzes the operation of the super-charging station device in a period before operation and judges whether the operation of the super-charging station device is qualified or not in the period before operation after receiving the device operation analysis signal, thereby avoiding the reduction of charging efficiency caused by the operation failure of the super-charging station device, and simultaneously carrying out positioning detection on the operation failure and improving the operation and maintenance efficiency of the super-charging station failure;
acquiring a temperature floating amount deviation value of the super-charging station equipment corresponding to the peak operation time and the non-peak operation time in a pre-operation period and an increase of the temperature rise speed of the super-charging station equipment when the super-charging station equipment is in the peak operation time at different moments in the pre-operation period, and comparing the temperature floating amount deviation value of the super-charging station equipment corresponding to the peak operation time and the non-peak operation time in the pre-operation period and the increase of the temperature rise speed of the super-charging station equipment when the super-charging station equipment is in the peak operation time at different moments in the pre-operation period with a temperature floating amount deviation value threshold and a temperature rise speed increase threshold respectively:
if the temperature floating quantity deviation value of the super-charging station equipment corresponding to the peak operation time and the non-peak operation time in the pre-operation period exceeds the temperature floating quantity deviation value threshold, or the temperature rise speed increase quantity of the super-charging station equipment in the peak operation time at different times in the pre-operation period exceeds the temperature rise speed increase quantity threshold, judging that the operation analysis of the super-charging station equipment in the pre-operation period is abnormal, generating an equipment high risk signal and transmitting the equipment high risk signal to a positioning detection platform;
if the temperature floating quantity deviation value of the super-charging station equipment corresponding to the peak operation time and the non-peak operation time in the pre-operation period does not exceed the temperature floating quantity deviation value threshold value and the temperature rise speed increase quantity of the super-charging station equipment in the peak operation time at different times in the pre-operation period does not exceed the temperature rise speed increase quantity threshold value, judging that the operation analysis of the super-charging station equipment in the pre-operation period is normal, generating an equipment low risk signal and transmitting the equipment low risk signal to a positioning detection platform;
meanwhile, the positioning detection platform analyzes the period after operation, generates a charging execution analysis signal and sends the charging execution analysis signal to the charging execution analysis unit, the charging execution analysis unit receives the charging execution analysis signal and then performs charging execution analysis on the super-charging station in the period after operation, and judges whether the risk exists in charging execution in the period after operation when the period before operation is not abnormal, so that the abnormality of super-charging station equipment caused by unqualified charging execution of the super-charging station is avoided, the charging efficiency is reduced, and the charging efficiency is ensured by charging execution detection while the accurate fault positioning detection can be performed when the super-charging station is abnormal;
acquiring the overlapping time length of the current operation peak value operation time period and the environment temperature continuous temperature rise time period of the super-charging station equipment in the post-operation time period and the continuous operation time length when the operation temperature of the super-charging station equipment in the post-operation time period is at the peak value, and comparing the overlapping time length of the current operation peak value operation time period and the environment temperature continuous temperature rise time period of the super-charging station equipment in the post-operation time period and the continuous operation time length when the operation temperature of the super-charging station equipment in the post-operation time period is at the peak value with an overlapping time length threshold and a continuous operation time length threshold respectively:
if the overlapping time of the current operation peak value operation time period of the super-charging station equipment and the continuous temperature rise time period of the ambient temperature exceeds the threshold of the overlapping time period, or the continuous operation time period of the super-charging station equipment in the operation peak value exceeds the threshold of the continuous operation time period, judging that the charge execution analysis is abnormal in the operation time period, generating a charge execution high-risk signal and sending the charge execution high-risk signal to a positioning detection platform;
if the overlapping time of the current operation peak value operation time period and the environment temperature continuous temperature rise time period of the super-charging station equipment in the post-operation time period does not exceed the overlapping time threshold, and the continuous operation time period of the super-charging station equipment in the post-operation time period when the operation temperature of the super-charging station equipment is at the peak value does not exceed the continuous operation time threshold, judging that the charge execution analysis is normal in the post-operation time period, generating a charge execution low risk signal and sending the charge execution low risk signal to a positioning detection platform;
the positioning detection platform performs targeted fault maintenance of the super-charging station according to the received signal type; if the fault moment of the super-charging station is within the threshold range of the running starting set time length, the fault positioning time period is determined to be the time period before running, and the super-charging station is analyzed to perform targeted fault positioning; if the fault moment of the super-charging station exceeds the threshold range of the set time length for starting operation, the fault positioning time period is mainly the time period after operation, the analysis of the time period before operation corresponding to the current time period after operation is normal, the fault positioning detection is not carried out, otherwise, the analysis of the time period before operation corresponding to the current time period after operation is abnormal, and after the fault positioning detection of the time period after operation is completed, the influence sampling inspection is carried out on the time period before operation corresponding to the time period before operation;
the positioning detection platform generates an operation analysis evaluation signal and sends the operation analysis evaluation signal to the operation analysis evaluation unit, and after the operation analysis evaluation unit receives the operation analysis evaluation signal, the operation analysis evaluation unit performs fault positioning detection evaluation on the super-charging station, judges whether the fault positioning detection efficiency of the super-charging station meets the actual operation requirement, avoids that the low fault positioning efficiency of the super-charging station affects the operation efficiency of the super-charging station, increases the operation and maintenance cost of the super-charging station, reduces the operation and maintenance efficiency, easily causes the repetition of the fault of the super-charging station, and increases the self wear of super-charging station equipment;
the method comprises the steps of obtaining floating quantity of sustainable operation duration corresponding to fault operation before and after fault operation in an operation period of a super-charging station and shortest interval duration corresponding to fault operation in the same charge execution process in the operation period of the super-charging station, and comparing the floating quantity of sustainable operation duration corresponding to fault operation before and after fault operation in the operation period of the super-charging station and the shortest interval duration corresponding to fault operation in the same charge execution process in the operation period of the super-charging station with an operation duration floating quantity threshold and a shortest interval duration threshold respectively:
if the floating quantity of the sustainable operation duration before and after the fault operation in the operation period of the super-charging station exceeds the floating quantity threshold of the operation duration, or the shortest interval duration corresponding to the fault operation in the same charge execution process in the operation period of the super-charging station does not exceed the threshold of the shortest interval duration, judging that the fault positioning detection efficiency in the operation period of the super-charging station is low, generating an operation evaluation inefficiency signal and sending the operation evaluation inefficiency signal to a positioning detection platform, and after the positioning detection platform receives the operation evaluation inefficiency signal, controlling the operation intensity of the corresponding super-charging station and managing and controlling the corresponding fault detection;
if the floating quantity of the sustainable operation duration before and after the fault operation in the operation period of the super-charging station does not exceed the floating quantity threshold of the operation duration, and the shortest interval duration corresponding to the fault operation in the same charge execution process in the operation period of the super-charging station exceeds the threshold of the shortest interval duration, the fault positioning detection efficiency in the operation period of the super-charging station is judged to be high, an operation evaluation high-efficiency signal is generated, and the operation evaluation high-efficiency signal is sent to a positioning detection platform.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the ultra-charging station fault location detection system is used, the location detection platform carries out fault location detection on the ultra-charging station, the operation time period of the ultra-charging station is divided into a pre-operation time period and a post-operation time period according to the operation time of the ultra-charging station, the use environment analysis unit carries out use environment analysis on the pre-operation time period, the use environment analysis coefficient in the ultra-charging station in the pre-operation time period is obtained, and an environment high risk signal or an environment low risk signal is generated according to the use environment analysis coefficient in a comparison mode and is sent to the location detection platform; the equipment operation analysis unit analyzes the operation of the super-charging station equipment in the period before operation, generates an equipment high risk signal and an equipment low risk signal through analysis, and sends the equipment high risk signal and the equipment low risk signal to the positioning detection platform; the electric execution analysis unit performs charging execution analysis on the super-charging station in the period after operation, generates a charging execution high-risk signal and a charging execution low-risk signal through analysis, and sends the signals to the positioning detection platform; and the positioning detection platform performs targeted fault maintenance of the super-charging station according to the received signal type, and performs fault positioning detection and evaluation on the super-charging station through the operation analysis and evaluation unit.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. The super-charging station fault positioning detection management system based on the cloud platform comprises a positioning detection platform, wherein the positioning detection platform performs fault positioning detection on the super-charging station and divides the operation period of the super-charging station into a pre-operation period and a post-operation period according to the operation time of the super-charging station;
the using environment analysis unit is used for carrying out using environment analysis on the period before operation, obtaining using environment analysis coefficients in the super-charging station in the period before operation, comparing and generating environment high risk signals or environment low risk signals according to the using environment analysis coefficients, and sending the environment high risk signals or environment low risk signals to the positioning detection platform;
the equipment operation analysis unit analyzes the operation of the super-charging station equipment in the period before operation, generates an equipment high risk signal and an equipment low risk signal through analysis, and sends the equipment high risk signal and the equipment low risk signal to the positioning detection platform; the electric execution analysis unit performs charging execution analysis on the super-charging station in the period after operation, generates a charging execution high-risk signal and a charging execution low-risk signal through analysis, and sends the signals to the positioning detection platform; the positioning detection platform performs targeted fault maintenance of the super-charging station according to the received signal type, and performs fault positioning detection and evaluation on the super-charging station through the operation analysis evaluation unit;
the operation process of the equipment operation analysis unit is as follows:
acquiring a temperature floating amount deviation value of the super-charging station equipment corresponding to the peak operation time and the non-peak operation time in a pre-operation period and an increase of the temperature rise speed of the super-charging station equipment when the super-charging station equipment is at the peak operation time in different times in the pre-operation period, and comparing the temperature floating amount deviation value of the super-charging station equipment corresponding to the peak operation time and the non-peak operation time in the pre-operation period and the increase of the temperature rise speed of the super-charging station equipment when the super-charging station equipment is at the peak operation time in different times in the pre-operation period with a temperature floating amount deviation value threshold and a temperature rise speed increase threshold respectively;
if the temperature floating quantity deviation value of the super-charging station equipment corresponding to the peak operation time and the non-peak operation time in the pre-operation period exceeds the temperature floating quantity deviation value threshold, or the increase of the temperature rise speed of the super-charging station equipment exceeds the temperature rise speed increase threshold when the super-charging station equipment is in the peak operation time in different times in the pre-operation period, generating an equipment high risk signal and transmitting the equipment high risk signal to a positioning detection platform;
if the temperature floating quantity deviation value of the super-charging station equipment corresponding to the peak operation time and the non-peak operation time in the pre-operation period does not exceed the temperature floating quantity deviation value threshold value, and the temperature rise speed increase quantity of the super-charging station equipment in the peak operation time at different times in the pre-operation period does not exceed the temperature rise speed increase quantity threshold value, generating an equipment low risk signal and transmitting the equipment low risk signal to the positioning detection platform;
the operation process of the charging execution analysis unit is as follows:
acquiring the overlapping time length of the current operation peak value operation time period and the environment temperature continuous temperature rise time period of the super-charging station equipment in the post-operation time period and the continuous operation time length when the operation temperature of the super-charging station equipment is at the peak value in the post-operation time period, and comparing the overlapping time length of the current operation peak value operation time period and the environment temperature continuous temperature rise time period of the super-charging station equipment in the post-operation time period and the continuous operation time length when the operation temperature of the super-charging station equipment is at the peak value in the post-operation time period with an overlapping time length threshold and a continuous operation time length threshold respectively;
if the overlapping time of the current operation peak value operation time period of the super-charging station equipment and the continuous temperature rise time period of the ambient temperature exceeds the threshold of the overlapping time period in the period after operation, or the continuous operation time period of the super-charging station equipment when the operation temperature of the super-charging station equipment is at the peak value exceeds the threshold of the continuous operation time period in the period after operation, generating a high risk signal for charging execution and transmitting the high risk signal for charging execution to a positioning detection platform; if the overlapping time of the current operation peak value operation time period and the environment temperature continuous temperature rise time period of the super-charging station equipment in the post-operation time period does not exceed the overlapping time threshold, and the continuous operation time period of the super-charging station equipment operation temperature in the post-operation time period is at the peak value does not exceed the continuous operation time threshold, generating a charging execution low risk signal and sending the charging execution low risk signal to the positioning detection platform.
2. The cloud platform-based supercharge station fault location detection management system of claim 1, wherein the operating process of the usage environment analysis unit is as follows:
acquiring the rising speed of the temperature of the super-charging station equipment in the super-charging station current use peak period and the maximum rising amount of the temperature rising speed of the super-charging station equipment in the super-charging station use environment, and marking the rising speed of the temperature of the super-charging station equipment in the super-charging station current use peak period and the maximum rising amount of the temperature rising speed of the super-charging station equipment in the super-charging station use environment as WSS and TSL respectively; acquiring an average span value of the rising speed of the environmental temperature of the current area of the super-charging station in a period before operation, and marking the average span value of the rising speed of the environmental temperature of the current area of the super-charging station in the period before operation as PKD; acquiring a use environment analysis coefficient G in the super-charging station in a period before operation through a formula; the in-use environment analysis coefficient G in the super-charging station in the pre-operation period is compared with the use environment analysis coefficient threshold value.
3. The cloud platform-based supercharge station fault location detection management system of claim 2, wherein the formula is:wherein v1, v2 and v3 are preset proportionality coefficients, v1 > v2 > v3 > 0, e is a natural constant, alpha is an error correction factor, and the value is 0.986.
4. The cloud platform-based supercharge station fault location detection management system according to claim 2, wherein if the in-supercharge station usage environment analysis coefficient G exceeds the usage environment analysis coefficient threshold value in a pre-operation period, determining that the usage environment is high risk in the pre-operation period, generating an environment high risk signal and transmitting the environment high risk signal to the location detection platform; if the usage environment analysis coefficient G in the super-charging station in the period before operation does not exceed the usage environment analysis coefficient threshold value, determining that the usage environment in the period before operation is low in risk, generating an environment low risk signal and sending the environment low risk signal to the positioning detection platform.
5. The cloud platform-based supercharge station fault location detection management system according to claim 1, wherein if the fault moment of the supercharge station is within the threshold range of the running start set duration, the fault location period is determined to be a pre-running period, and the supercharge station is analyzed to perform targeted fault location in the pre-running period; if the fault moment of the super-charging station exceeds the threshold range of the set time length of starting operation, the fault positioning time period is mainly the time period after operation, the analysis of the time period before operation corresponding to the current time period after operation is normal, the fault positioning detection is not carried out, otherwise, the analysis of the time period before operation corresponding to the current time period after operation is abnormal, and after the fault positioning detection of the time period after operation is completed, the influence sampling inspection is carried out on the time period before operation.
6. The cloud platform-based supercharge station fault location detection management system of claim 1, wherein the operation process of the operation analysis evaluation unit is as follows:
the method comprises the steps of obtaining the floating quantity of the sustainable operation duration corresponding to the fault operation before and after the fault operation in the operation period of the super-charging station and the shortest interval duration corresponding to the fault operation in the same charge execution process in the operation period of the super-charging station, and comparing the floating quantity with the floating quantity threshold of the operation duration and the threshold of the shortest interval duration respectively:
if the floating quantity of the sustainable operation duration before and after the fault operation in the operation period of the super-charging station exceeds the floating quantity threshold of the operation duration, or the shortest interval duration corresponding to the fault operation in the same charge execution process in the operation period of the super-charging station does not exceed the threshold of the shortest interval duration, generating an operation evaluation inefficiency signal and transmitting the operation evaluation inefficiency signal to a positioning detection platform; if the floating quantity of the sustainable operation duration before and after the fault operation in the operation period of the super-charging station does not exceed the floating quantity threshold of the operation duration, and the shortest interval duration corresponding to the fault operation in the same charge execution process in the operation period of the super-charging station exceeds the threshold of the shortest interval duration, generating an operation evaluation high-efficiency signal and transmitting the operation evaluation high-efficiency signal to the positioning detection platform.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105866595A (en) * | 2016-05-21 | 2016-08-17 | 徐洪军 | Intelligent and safe charging pile monitoring device |
| CN109228959A (en) * | 2018-09-04 | 2019-01-18 | 石家庄科林电气股份有限公司 | Electric bicycle intelligent charging system and charging method with fire-proof and explosion-proof function |
| CN113580989A (en) * | 2021-09-29 | 2021-11-02 | 四川智多鑫新能源有限公司 | New energy electric vehicle overcharge system and control method |
| CN114326594A (en) * | 2021-12-30 | 2022-04-12 | 苏州科腾软件开发有限公司 | Machine tool performance evaluation system based on machine tool data and evaluation method thereof |
| CN114355185A (en) * | 2022-01-12 | 2022-04-15 | 淮北祥泰科技有限责任公司 | Operation management and control system for intelligent switch |
| CN115508736A (en) * | 2022-11-15 | 2022-12-23 | 智洋创新科技股份有限公司 | Direct-current power supply online charging performance testing system and method based on big data |
| CN116080456A (en) * | 2023-02-20 | 2023-05-09 | 安徽中科源起科技有限公司 | Portable electric pile that fills based on thing networking control and energy storage charge supervisory systems thereof |
| CN116506321A (en) * | 2023-04-28 | 2023-07-28 | 杭州富阳海康保泰安防技术服务有限公司 | Operation and maintenance intelligent terminal based on data analysis |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3546856B2 (en) * | 2001-04-25 | 2004-07-28 | 松下電器産業株式会社 | Battery pack and battery pack failure diagnosis method |
-
2023
- 2023-08-25 CN CN202311080989.7A patent/CN117110746B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105866595A (en) * | 2016-05-21 | 2016-08-17 | 徐洪军 | Intelligent and safe charging pile monitoring device |
| CN109228959A (en) * | 2018-09-04 | 2019-01-18 | 石家庄科林电气股份有限公司 | Electric bicycle intelligent charging system and charging method with fire-proof and explosion-proof function |
| CN113580989A (en) * | 2021-09-29 | 2021-11-02 | 四川智多鑫新能源有限公司 | New energy electric vehicle overcharge system and control method |
| CN114326594A (en) * | 2021-12-30 | 2022-04-12 | 苏州科腾软件开发有限公司 | Machine tool performance evaluation system based on machine tool data and evaluation method thereof |
| CN114355185A (en) * | 2022-01-12 | 2022-04-15 | 淮北祥泰科技有限责任公司 | Operation management and control system for intelligent switch |
| CN115508736A (en) * | 2022-11-15 | 2022-12-23 | 智洋创新科技股份有限公司 | Direct-current power supply online charging performance testing system and method based on big data |
| CN116080456A (en) * | 2023-02-20 | 2023-05-09 | 安徽中科源起科技有限公司 | Portable electric pile that fills based on thing networking control and energy storage charge supervisory systems thereof |
| CN116506321A (en) * | 2023-04-28 | 2023-07-28 | 杭州富阳海康保泰安防技术服务有限公司 | Operation and maintenance intelligent terminal based on data analysis |
Non-Patent Citations (1)
| Title |
|---|
| 电动汽车动力电池的运行与检修管理探讨;王骏海;戴咏夏;;浙江电力(第01期);69-73 * |
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