A switch cabinet temperature and humidity wireless monitoring and abnormal positioning method and system

Abstract

The application discloses a kind of switch cabinet temperature and humidity wireless monitoring and abnormal positioning method and system, it is related to wireless communication technical field, for solving the problem that switch cabinet metal compartment causes wireless temperature and humidity monitoring data gap and is difficult to reliably position abnormal area, by reading node message arrival interval and node wireless link quality screening pending verification node, call cabinet room partition plate intercommunication relationship generation gap area mark, call the temperature sampling sequence and humidity sampling sequence of associated node generation gap abnormal mapping quantity, according to positioning credibility grade, cabinet room is sorted, improve the reliability of abnormal area positioning under the scene of wireless monitoring data gap.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and more specifically, to a method and system for wireless monitoring and anomaly location of switch cabinet temperature and humidity. Background Technology

[0002] Switchgear typically comprises separate compartments such as busbar compartments, circuit breaker compartments, and cable compartments. Wireless temperature and humidity nodes can be deployed in each compartment, collecting temperature and relative humidity data and uploading it to a wireless gateway. Based on the node messages and temperature and humidity data received by the gateway, the maintenance system continuously monitors the thermal and humidity conditions within the compartments and provides troubleshooting information for any abnormal compartments to maintenance personnel.

[0003] The existing technology has the following shortcomings: Currently, wireless monitoring of temperature and humidity in switchgear typically generates alarms based on the reported status of a single node or fixed temperature and humidity thresholds. This makes it difficult to identify the impact of communication gaps on the monitoring status. For intermittently disconnected nodes, there is a lack of processing to correlate link characteristics with the connectivity of cabinet partitions. When continuous monitoring data is lacking in the gap area, there is a lack of a mechanism to use the temperature and humidity changes of adjacent valid nodes to form a location basis and sort them by reliability. Maintenance personnel cannot obtain clear priority cabinets for investigation. Therefore, a method and system for wireless monitoring and anomaly location of temperature and humidity in switchgear is proposed.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] To overcome the aforementioned deficiencies of the prior art, embodiments of the present invention provide a method and system for wireless monitoring and anomaly location of switchgear temperature and humidity. By constructing a link gap characterization quantity and a partition obstruction matching quantity, gap area markers and gap anomaly mapping quantities are generated, and the cabinet room ranking results are output according to the location reliability level, thereby solving the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for wireless monitoring and anomaly location of temperature and humidity in switchgear, comprising the following steps: Step S1: Read the node packet arrival interval and node wireless link quality recorded by the wireless gateway, calculate the link gap characterization quantity by combining the node packet arrival interval and node wireless link quality, and screen the nodes to be verified. Step S2: Retrieve the cabinet partition connectivity of the cabinet to which the node to be verified belongs, determine the partition obstruction matching quantity in combination with the link gap characterization quantity, and generate a gap area mark after performing the cabinet affiliation verification on the node to be verified based on the partition obstruction matching quantity. Step S3: For the marked cabinet in the gap area, retrieve the temperature sampling sequence and humidity sampling sequence of the associated nodes, calculate the temperature change and humidity change respectively, analyze the thermal and humidity change characteristics of the neighboring area, screen the associated nodes according to the gap area marking, and integrate the thermal and humidity change characteristics of the neighboring area with the associated nodes to generate the gap anomaly mapping quantity. Step S4: Set the location confidence level based on the gap anomaly mapping amount, sort the cabinets corresponding to the gap area according to the location confidence level, and output the sorting results.

[0007] In a preferred embodiment, in step S1, the node message arrival interval is the difference between the reception times of two adjacent messages from the same wireless temperature and humidity node. The node wireless link quality is a communication quality field that the wireless gateway writes to the message reception record when it successfully receives a message; Within the normal reporting period, the node message arrival interval and node radio link quality are collected, and the normal reporting interval and link quality lower bound are calculated respectively. The normal reporting cycle is determined by the record of messages continuously received by the wireless temperature and humidity node without message retransmission. If the node message arrival interval exceeds the normal reporting range, the reporting interruption field will be set to an abnormal status. Conversely, the interruption reporting field will be set to normal status. If the node's wireless link quality is below the lower bound of the link quality, then the link attenuation field is set to an abnormal state. Conversely, the link attenuation field will be set to normal.

[0008] In a preferred embodiment, in step S1, the link gap characterization quantity includes a reporting interruption field and a link attenuation field; When both fields in the link gap characterization quantity are in an abnormal state, the corresponding wireless temperature and humidity node will be selected as the node to be verified. Conversely, it will not be included in the nodes awaiting verification.

[0009] In a preferred embodiment, in step S2, the cabinet partition connectivity is retrieved using the node identifier of the node to be verified to obtain the cabinet traversal path from the node to be verified to the wireless gateway. When a metal partition passes through the cabinet passage path, and both the reported interruption field and the link attenuation field in the link gap characterization quantity are in an abnormal state, the partition obstruction matching quantity is determined as a matching state. Otherwise, the partition blocking the matching amount is determined to be in a mismatch state; The amount of matching obstruction by the partition is represented by matching and non-matching states.

[0010] In a preferred embodiment, in step S2, the node to be verified corresponding to the matching status enters the compartment affiliation verification, which is performed according to the node identifier, deployment location and compartment number in the switch cabinet layout file; nodes to be verified with the same compartment number are grouped together, and the compartment number and the grouped node identifier are written into the gap area marker.

[0011] In a preferred embodiment, in step S3, the associated node refers to a wireless temperature and humidity node located in a cabinet directly adjacent to the cabinet corresponding to the gap area mark, and continuously receiving messages during the current continuous reporting cycle. The temperature sampling sequence is formed by sorting the temperature values ​​collected by each associated node in the current continuous reporting period according to the time of collection. The humidity sampling sequence is formed by sorting the relative humidity values ​​collected by the same associated node within the current continuous reporting period according to the collection time. The temperature change and humidity change were calculated based on the temperature sampling sequence and humidity sampling sequence, respectively.

[0012] In a preferred embodiment, in step S3, temperature variation ranges and humidity variation ranges are constructed according to their respective historical distribution ranges; Compare the temperature change with the corresponding temperature change range to analyze the temperature change state, which includes the heating state, cooling state and the stable state. Compare the humidity change with the corresponding humidity change range to analyze the humidity change state, which includes humidification state, dehumidification state and stable state. The thermal and humidity change characteristics of the adjacent area are state pairs consisting of temperature change state and humidity change state.

[0013] In a preferred embodiment, in step S3, the gap anomaly mapping quantity includes the cabinet number corresponding to the gap area marker, the associated node identifier, and the temperature change status and humidity change status of each associated node; When at least one of the temperature change state and humidity change state is not in a stable state, the state pair of the corresponding associated node will be written into the gap anomaly mapping value. When both are in a stationary state, the corresponding associated node is recorded as having no significant change. When there are not enough associated nodes to form a temperature sampling sequence or a humidity sampling sequence, the corresponding associated node will be recorded as an insufficient sampling state.

[0014] In a preferred embodiment, in step S4, when all available associated nodes have the same and non-significantly changing neighboring thermal and humidity change characteristics, the positioning confidence level is set to high. When there is a state that is not without significant changes, but the state pairs of the available associated nodes are not completely consistent, the location confidence level is set to medium. If all associated nodes are in a state of no significant change, or if all associated nodes are in a state of insufficient sampling, the location confidence level will be set to low. Cabinets with the same location reliability level are sorted in ascending order by their cabinet numbers to form a ranking result.

[0015] A wireless temperature and humidity monitoring and anomaly location system for switchgear includes a link gap screening module, a partition obstruction verification module, a neighboring area heat and humidity mapping module, and a location sorting module, with each module connected by an electrical signal; The functions of each module are as follows: The link gap filtering module is used to read the node packet arrival interval and node wireless link quality recorded by the wireless gateway, construct the link gap characterization quantity, and filter the node to be verified when the reported interruption field and link attenuation field are both in an abnormal state. The link gap characterization quantity and the node to be verified are then passed to the partition occlusion verification module. The partition obstruction verification module is used to retrieve the partition connectivity of the cabinet to which the node to be verified belongs, determine the partition obstruction matching amount, and perform the compartment ownership verification when the partition obstruction matching amount is in a matching state, generate a gap area mark, and pass the gap area mark to the neighboring area heat and humidity mapping module. The neighboring area heat and humidity mapping module is used to filter associated nodes based on the gap area marker, retrieve the temperature sampling sequence and humidity sampling sequence of the associated nodes, form the temperature change and humidity change respectively, construct the neighboring area heat and humidity change characteristics, and write the associated nodes, the neighboring area heat and humidity change characteristics and the gap area marker into the gap anomaly mapping quantity, and pass the gap anomaly mapping quantity into the positioning and sorting module. The positioning and sorting module is used to set the positioning confidence level based on the gap anomaly mapping amount, and sort the cabinets corresponding to the gap area according to the positioning confidence level, and send the sorting results to the gateway display interface, operation and maintenance platform or alarm terminal.

[0016] The technical effects and advantages of this invention are as follows: This invention generates a link gap characterization quantity by reading the node message arrival interval and node wireless link quality, and filters the nodes to be verified. It retrieves the cabinet partition connectivity to determine the partition occlusion matching quantity and generates a gap area marker. It retrieves the temperature sampling sequence and humidity sampling sequence of the associated node to generate a gap anomaly mapping quantity. Based on the gap anomaly mapping quantity, it sets the positioning reliability level and outputs the sorting result, thereby improving the reliability of anomaly area positioning and the pertinence of maintenance and troubleshooting in the scenario of gap in switch cabinet wireless monitoring data. Attached Figure Description

[0017] Figure 1This is a flowchart illustrating the implementation of a wireless temperature and humidity monitoring and anomaly location method for switchgear according to the present invention.

[0018] Figure 2 This is a schematic diagram of a switch cabinet temperature and humidity wireless monitoring and anomaly location system according to the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] This invention achieves reliable location and sorting of data gap cabinets by mapping wireless communication gaps to cabinet partitions and constructing anomaly mappings based on the thermal and humidity changes of associated nodes.

[0021] Example 1, such as Figure 1 As shown, a method for wireless monitoring and anomaly location of temperature and humidity in switchgear includes the following steps: Step S1: Read the node packet arrival interval and node wireless link quality recorded by the wireless gateway, calculate the link gap characterization quantity by combining the node packet arrival interval and node wireless link quality, and screen the nodes to be verified. Step S2: Retrieve the cabinet partition connectivity of the cabinet to which the node to be verified belongs, determine the partition obstruction matching quantity in combination with the link gap characterization quantity, and generate a gap area mark after performing the cabinet affiliation verification on the node to be verified based on the partition obstruction matching quantity. Step S3: For the marked cabinet in the gap area, retrieve the temperature sampling sequence and humidity sampling sequence of the associated nodes, calculate the temperature change and humidity change respectively, analyze the thermal and humidity change characteristics of the neighboring area, screen the associated nodes according to the gap area marking, and integrate the thermal and humidity change characteristics of the neighboring area with the associated nodes to generate the gap anomaly mapping quantity. Step S4: Set the location confidence level based on the gap anomaly mapping amount, sort the cabinets corresponding to the gap area according to the location confidence level, and output the sorting results.

[0022] The specific implementation is as follows: The switchgear comprises multiple compartments separated by metal partitions. Each compartment is equipped with a wireless temperature and humidity node, and the wireless gateway is located outside the switchgear or at its communication aggregation point. The wireless temperature and humidity nodes collect temperature and relative humidity values ​​according to a predetermined reporting cycle and send a message to the wireless gateway carrying the node identifier, collection time, temperature value, relative humidity value, and the node's wireless link quality. The wireless gateway stores the message reception time, wireless link quality, and collected data from each node's message.

[0023] The compartment partition connectivity is constructed from the switchgear layout file and node deployment information. The compartment partition connectivity records the compartment traversal path from each wireless temperature and humidity node to the wireless gateway, and whether this path passes through a metal partition. The compartment partition connectivity also records the compartment to which the node belongs, adjacent compartments, and the node's deployment location, used to limit the selection range of subsequent associated nodes.

[0024] In step S1, the node message arrival interval is the difference between the reception times of two adjacent messages from the same wireless temperature and humidity node, in units of time. The node wireless link quality is the communication quality field written into the message reception record by the wireless gateway when a message is successfully received, which reflects the link status of the message transmission.

[0025] For each wireless temperature and humidity node, the arrival interval of node messages is collected within multiple consecutive normal reporting cycles, and the median value and discrete range of this time series are taken to form the normal reporting interval. Simultaneously, the wireless link quality of nodes within the same time period is collected, and the lower bound of its historical distribution is taken as the lower bound of the link quality. The normal reporting cycle is determined by the record of messages continuously received by the wireless temperature and humidity node without message retransmission. The median value is not affected by a small number of abnormal delayed messages, making it suitable for characterizing the regular reporting rhythm of nodes.

[0026] The link gap characterization quantity is structured communication status data that includes the reported interruption field and the link attenuation field; For the current continuous reporting period: If the node message arrival interval exceeds the normal reporting range, the reporting interruption field will be set to an abnormal status. If the node message arrival interval does not exceed the normal reporting range, then the reporting interruption field will be set to normal status.

[0027] If the node's wireless link quality is below the lower bound of the link quality, then the link attenuation field is set to an abnormal state. If the node's wireless link quality is not lower than the lower bound of the link quality, then the link attenuation field should be set to normal.

[0028] The node message arrival interval and node radio link quality are not added, subtracted, multiplied, divided, or ratioed here, but are written into fields with the same state value rules.

[0029] If both fields are in an abnormal state, the corresponding wireless temperature and humidity node will be selected as a node to be verified; otherwise, the corresponding wireless temperature and humidity node will remain in normal monitoring status and will not be included in the nodes to be verified.

[0030] If no message is received within the current continuous reporting period, the link attenuation field is filled with the wireless link quality of the node corresponding to the most recently successfully received message, and the node message arrival interval is updated with the time difference between the current time and the time of the most recent message reception.

[0031] The nodes to be verified, selected by the link gap characterization, have both reporting interruption and link attenuation characteristics, providing unified input data for subsequent determination of whether the communication gap is related to the metal partition.

[0032] In step S2, the cabinet partition connectivity of the cabinet to which the node to be verified belongs is retrieved, and the partition blocking matching quantity is determined in combination with the link gap characterization quantity. The partition obstruction matching quantity is used to characterize the consistency between the communication gap of the node to be verified and the cabinet passage path; the cabinet partition connectivity relationship is retrieved by the node identifier of the node to be verified to obtain the cabinet passage path from the node to be verified to the wireless gateway.

[0033] When a metal partition passes through the cabinet passage path, and both the reported interruption field and the link attenuation field in the link gap characterization quantity are in an abnormal state, the partition obstruction matching quantity is determined as a matching state. If there is no metal partition crossing the cabinet passage path, or if any field in the link gap characterization quantity is in a normal state, the partition obstruction matching quantity is determined to be in a mismatch state.

[0034] The partition blocking matching quantity is represented by matching and non-matching states, and the number of metal partitions is not directly calculated with respect to the node message arrival interval or the node wireless link quality.

[0035] The node to be verified corresponding to the matching status enters the compartment ownership verification, and the node to be verified corresponding to the non-matching status removes the gap verification mark and retains its communication status record.

[0036] The compartment attribution verification is performed according to the node identifier, deployment location, and compartment number in the switchgear layout file. Nodes to be verified with the same compartment number are grouped together, and the compartment number and the grouped node identifiers are written into the gap area marker.

[0037] The gap area marker is used to indicate cabinet records that may lack continuous monitoring data due to metal partitions. When cabinet passage path records are missing, the corresponding node to be verified is marked as a configuration review object and is not written into the gap area marker.

[0038] By verifying the matching quantity of partition obstruction and the compartment affiliation, the communication anomaly of a single node is converted into a gap area marker with a clear compartment range. The gap area marker is passed to subsequent steps to limit the screening range of associated nodes.

[0039] In step S3, for the cabinet corresponding to the gap area mark, the temperature sampling sequence and humidity sampling sequence of the associated node are retrieved. The associated node refers to the wireless temperature and humidity node located in the cabinet directly adjacent to the cabinet corresponding to the gap area mark and continuously receiving messages in the current continuous reporting cycle. The cabinet partition connectivity is retrieved by the cabinet number marked in the gap area. Wireless temperature and humidity nodes that are directly adjacent to each other and have normal communication status are selected and written into the associated node set as associated nodes for subsequent processing.

[0040] The temperature sampling sequence is formed by sorting the temperature values ​​collected by each associated node within the current continuous reporting period according to the sampling time. For adjacent sampling times in the temperature sampling sequence, the temperature value at the later sampling time is subtracted from the temperature value at the previous sampling time, and then divided by the time interval between the two sampling times to form the temperature change. The unit of the temperature change is the temperature change per unit time, used to characterize the rate of change of the thermal state around the associated node. ,in, Let be the temperature change in the i-th adjacent sampling interval. and These are the temperature values ​​at the next sampling time and the previous sampling time, respectively. and These correspond to the sampling times. The unit for temperature change is degrees Celsius per unit time.

[0041] The humidity sampling sequence is formed by sorting the relative humidity values ​​collected by the same associated node within the current continuous reporting period according to the collection time.

[0042] For adjacent sampling times in a humidity sampling sequence, the relative humidity value at the later sampling time is subtracted from the relative humidity value at the previous sampling time, and then divided by the time interval between the two sampling times to obtain the humidity change. The unit of humidity change is the change in relative humidity per unit time, used to characterize the rate of change of humidity around the associated node. ,in, Let be the humidity change in the i-th adjacent sampling interval. and These are the relative humidity values ​​at the next sampling time and the previous sampling time, respectively. and These correspond to the sampling times. The unit for humidity change is relative humidity percentage per unit time.

[0043] The temperature and humidity changes of each associated node during the normal communication phase are collected separately, and temperature and humidity change ranges are constructed according to their respective historical distribution ranges. When the temperature change is higher than the upper limit of the temperature change range, the temperature change state is a heating state. When the temperature change is below the lower limit of the temperature change range, the temperature change state is a cooling state. When the temperature change is within the temperature change range, the temperature change state is a stable state.

[0044] When the change in humidity is higher than the upper limit of the humidity change range, the humidity change state is a humidification state. When the change in humidity is below the lower limit of the humidity change range, the humidity change state is a dehumidification state. When the change in humidity is within the range of humidity change, the humidity change state is stable.

[0045] The temperature variation range and humidity variation range are determined by the median value and discrete range of the corresponding changes during the historical normal communication phase of the same node.

[0046] The thermal and humidity change characteristics of the neighboring area are state pairs consisting of temperature change state and humidity change state. The states of rising temperature and dehumidification, rising temperature and humidification, falling temperature and humidification, and other state combinations are recorded separately according to the actual sampling sequence, without pre-setting a positive or negative correlation between temperature and relative humidity.

[0047] By binding the associated nodes, the thermal and humidity change characteristics of the neighboring areas, and the gap area markers to the same cabinet record, a gap anomaly mapping quantity is formed.

[0048] The gap anomaly mapping includes the cabinet number corresponding to the gap area marker, the associated node identifier, and the temperature and humidity change status of each associated node.

[0049] When at least one of the temperature change state and humidity change state is not in a stable state, the state pair of the corresponding associated node will be written into the gap anomaly mapping value. When both are in a stationary state, the corresponding associated node is recorded as having no significant change.

[0050] When there are not enough associated nodes to form a temperature sampling sequence or a humidity sampling sequence, the corresponding associated node will be recorded as an insufficient sampling state.

[0051] In step S4, the location confidence level is set based on the gap anomaly mapping amount, and the cabinets corresponding to the gap area are sorted according to the location confidence level, and the sorting results are output.

[0052] The location reliability level is used to characterize the consistency of abnormal location evidence for the cabinet corresponding to the gap area marker. For the cabinet corresponding to the same gap area marker, the status of the associated nodes in the gap anomaly mapping is read.

[0053] When all available associated nodes have the same and not significantly different neighboring thermal and humidity change characteristics, the location confidence level is set to high. When there is a state that is not without significant changes, but the state pairs of the available associated nodes are not completely consistent, the location confidence level is set to medium. If all associated nodes are in a state of no significant change, or if all associated nodes are in a state of insufficient sampling, the location confidence level will be set to low.

[0054] It should be noted that the available associated nodes are those not recorded as undersampled in the gap anomaly mapping. The division of high, medium, and low positioning reliability levels does not depend on the numerical synthesis of temperature and humidity changes, but is based on the consistency of the status pairs of associated nodes. The positioning reliability levels of each cabinet are arranged in the order of high, medium, and low. Cabinets with the same positioning reliability level are arranged in ascending order of cabinet number to form a sorting result. The sorting result includes the cabinet number, positioning reliability level, and the status pairs of the corresponding associated nodes for display on the operation and maintenance terminal and for troubleshooting by maintenance personnel.

[0055] Example 2, as Figure 2 As shown, a wireless temperature and humidity monitoring and anomaly location system for switchgear includes a link gap screening module, a partition obstruction verification module, a neighboring area heat and humidity mapping module, and a location sorting module, with each module connected by an electrical signal. The functions of each module are as follows: The link gap filtering module is used to read the node packet arrival interval and node wireless link quality recorded by the wireless gateway, construct the link gap characterization quantity, and filter the node to be verified when the reported interruption field and link attenuation field are both in an abnormal state. The link gap characterization quantity and the node to be verified are then passed to the partition occlusion verification module. The partition obstruction verification module is used to retrieve the partition connectivity of the cabinet to which the node to be verified belongs, determine the partition obstruction matching amount, and perform the compartment ownership verification when the partition obstruction matching amount is in a matching state, generate a gap area mark, and pass the gap area mark to the neighboring area heat and humidity mapping module. The neighboring area heat and humidity mapping module is used to filter associated nodes based on the gap area marker, retrieve the temperature sampling sequence and humidity sampling sequence of the associated nodes, form the temperature change and humidity change respectively, construct the neighboring area heat and humidity change characteristics, and write the associated nodes, the neighboring area heat and humidity change characteristics and the gap area marker into the gap anomaly mapping quantity, and pass the gap anomaly mapping quantity into the positioning and sorting module. The positioning and sorting module is used to set the positioning confidence level based on the gap anomaly mapping amount, and sort the cabinets corresponding to the gap area according to the positioning confidence level, and send the sorting results to the gateway display interface, operation and maintenance platform or alarm terminal.

[0056] In this embodiment, the wireless temperature and humidity node, wireless gateway, and various modules can be implemented by a processor and a memory. The memory stores program instructions, and the processor executes the program instructions to implement the steps in Embodiment 1. The cabinet partition connectivity, normal reporting intervals, lower bounds of link quality, temperature change intervals, and humidity change intervals can be stored in a data storage unit connected to the wireless gateway and updated periodically according to newly received normal communication phase messages.

[0057] Finally, it should be noted that in this paper, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0058] Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0059] In this document, the singular forms “a,” “an,” and “the” may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that terms such as “comprising / including” or “having” specify the presence of the stated features, integrals, steps, operations, components, parts, or combinations thereof, but do not preclude the possibility of the presence or addition of one or more other features, integrals, steps, operations, components, parts, or combinations thereof. Meanwhile, the term “and / or” as used in this specification includes any and all combinations of the associated listed items.

[0060] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0061] The above description of the disclosed embodiments will enable those skilled in the art to make or use various modifications to these embodiments. It will be readily apparent to those skilled in the art that the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for wireless monitoring and anomaly location of temperature and humidity in switchgear, characterized in that, Includes the following steps: Step S1: Read the node packet arrival interval and node wireless link quality recorded by the wireless gateway, calculate the link gap characterization quantity by combining the node packet arrival interval and node wireless link quality, and screen the nodes to be verified. Step S2: Retrieve the cabinet partition connectivity of the cabinet to which the node to be verified belongs, determine the partition obstruction matching quantity in combination with the link gap characterization quantity, and generate a gap area mark after performing the cabinet affiliation verification on the node to be verified based on the partition obstruction matching quantity. Step S3: For the marked cabinet in the gap area, retrieve the temperature sampling sequence and humidity sampling sequence of the associated nodes, calculate the temperature change and humidity change respectively, analyze the thermal and humidity change characteristics of the neighboring area, screen the associated nodes according to the gap area marking, and integrate the thermal and humidity change characteristics of the neighboring area with the associated nodes to generate the gap anomaly mapping quantity. Step S4: Set the location confidence level based on the gap anomaly mapping amount, sort the cabinets corresponding to the gap area according to the location confidence level, and output the sorting results; The link gap characterization includes the reporting interruption field and the link attenuation field. The reporting interruption field is the comparison result between the node message arrival interval and the normal reporting interval. The link attenuation field is the comparison result between the node wireless link quality and the lower bound of the link quality. When both the reporting interruption field and the link attenuation field are in an abnormal state, the corresponding wireless temperature and humidity node will be selected as the node to be verified. The partition obstruction matching quantity is represented by matching and non-matching states. The cabinet partition connectivity is retrieved using the node identifier of the node to be verified to obtain the cabinet traversal path from the node to be verified to the wireless gateway. If there is a metal partition traversal in the cabinet traversal path and the reported interruption field and link attenuation field are both in abnormal states, the partition obstruction matching quantity is in a matching state; otherwise, the partition obstruction matching quantity is in a non-matching state. The nodes to be verified corresponding to the matching status enter the compartment ownership verification, which is carried out according to the node identifier, deployment location and compartment number in the switch cabinet layout file; nodes to be verified with the same compartment number are grouped together, and the compartment number and the identifier of the grouped nodes to be verified are written into the gap area marker. The thermal and humidity change characteristics of the adjacent area are state pairs consisting of temperature change state and humidity change state. The temperature change state is the result of comparing the temperature change amount with the temperature change range, and the humidity change state is the result of comparing the humidity change amount with the humidity change range. The gap anomaly mapping includes the cabinet number corresponding to the gap area marker, the associated node identifier, and the thermal and humidity change characteristics of the neighboring areas of each associated node.

2. The method for wireless monitoring and anomaly location of switchgear temperature and humidity according to claim 1, characterized in that: In step S1, the node message arrival interval is the difference between the reception times of two adjacent messages from the same wireless temperature and humidity node; The node wireless link quality is a communication quality field that the wireless gateway writes to the message reception record when it successfully receives a message; Within the normal reporting period, the node message arrival interval and node radio link quality are collected, and the normal reporting interval and link quality lower bound are calculated respectively. The normal reporting cycle is determined by the record of messages continuously received by the wireless temperature and humidity node without message retransmission. If the node message arrival interval exceeds the normal reporting range, the reporting interruption field will be set to an abnormal status. Conversely, the interruption reporting field will be set to normal status. If the node's wireless link quality is below the lower bound of the link quality, then the link attenuation field is set to an abnormal state. Conversely, the link attenuation field will be set to normal.

3. The method for wireless monitoring and anomaly location of switchgear temperature and humidity according to claim 1, characterized in that: In step S3, the associated node refers to the wireless temperature and humidity node located in the cabinet directly adjacent to the cabinet corresponding to the gap area mark, and continuously receiving messages during the current continuous reporting cycle. The temperature sampling sequence is formed by sorting the temperature values ​​collected by each associated node in the current continuous reporting period according to the time of collection. The humidity sampling sequence is formed by sorting the relative humidity values ​​collected by the same associated node within the current continuous reporting period according to the collection time. The temperature change and humidity change were calculated based on the temperature sampling sequence and humidity sampling sequence, respectively.

4. The method for wireless monitoring and anomaly location of switchgear temperature and humidity according to claim 3, characterized in that: In step S3, temperature variation ranges and humidity variation ranges are constructed according to their respective historical distribution ranges; Compare the temperature change with the corresponding temperature change range to analyze the temperature change state, which includes the heating state, cooling state and the stable state. The humidity change is compared with the corresponding humidity change range to analyze the humidity change state, which includes humidification state, dehumidification state and stable state.

5. The method for wireless monitoring and anomaly location of switchgear temperature and humidity according to claim 1, characterized in that: In step S3, when at least one of the temperature change state and humidity change state is not a stable state, the state pair of the corresponding associated node is written into the gap anomaly mapping quantity. When both are in a stationary state, the corresponding associated node is recorded as having no significant change. When there are not enough associated nodes to form a temperature sampling sequence or a humidity sampling sequence, the corresponding associated node will be recorded as an insufficient sampling state.

6. The method for wireless monitoring and anomaly location of switchgear temperature and humidity according to claim 5, characterized in that: In step S4, when all available associated nodes have the same and not significantly different neighboring thermal and humidity change characteristics, the positioning confidence level is set to high. When there is a state that is not without significant changes, but the state pairs of the available associated nodes are not completely consistent, the location confidence level is set to medium. If all associated nodes are in a state of no significant change, or if all associated nodes are in a state of insufficient sampling, the location confidence level will be set to low. Cabinets with the same location reliability level are sorted in ascending order by their cabinet numbers to form a ranking result.

7. A wireless temperature and humidity monitoring and anomaly location system for switchgear, used to implement the wireless temperature and humidity monitoring and anomaly location method for switchgear as described in any one of claims 1-6, characterized in that: It includes a link gap screening module, a partition obstruction verification module, a neighboring cell thermal and humidity mapping module, and a location sorting module. The functions of each module are as follows: The link gap filtering module is used to read the node packet arrival interval and node wireless link quality recorded by the wireless gateway, construct the link gap characterization quantity, and filter the node to be verified when the reported interruption field and link attenuation field are both in an abnormal state. The link gap characterization quantity and the node to be verified are then passed to the partition occlusion verification module. The partition obstruction verification module is used to retrieve the partition connectivity of the cabinet to which the node to be verified belongs, determine the partition obstruction matching amount, and perform the compartment ownership verification when the partition obstruction matching amount is in a matching state, generate a gap area mark, and pass the gap area mark to the neighboring area heat and humidity mapping module. The neighboring area heat and humidity mapping module is used to filter associated nodes based on the gap area marker, retrieve the temperature sampling sequence and humidity sampling sequence of the associated nodes, form the temperature change and humidity change respectively, construct the neighboring area heat and humidity change characteristics, and write the associated nodes, the neighboring area heat and humidity change characteristics and the gap area marker into the gap anomaly mapping quantity, and pass the gap anomaly mapping quantity into the positioning and sorting module. The positioning and sorting module is used to set the positioning confidence level based on the gap anomaly mapping amount, and sort the cabinets corresponding to the gap area according to the positioning confidence level, and send the sorting results to the gateway display interface, operation and maintenance platform or alarm terminal. The link gap characterization includes the reporting interruption field and the link attenuation field. The reporting interruption field is the comparison result between the node message arrival interval and the normal reporting interval. The link attenuation field is the comparison result between the node wireless link quality and the lower bound of the link quality. When both the reporting interruption field and the link attenuation field are in an abnormal state, the corresponding wireless temperature and humidity node will be selected as the node to be verified. The partition obstruction matching quantity is represented by matching and non-matching states. The cabinet partition connectivity is retrieved using the node identifier of the node to be verified to obtain the cabinet traversal path from the node to be verified to the wireless gateway. If there is a metal partition traversal in the cabinet traversal path and the reported interruption field and link attenuation field are both in abnormal states, the partition obstruction matching quantity is in a matching state; otherwise, the partition obstruction matching quantity is in a non-matching state. The nodes to be verified corresponding to the matching status enter the compartment ownership verification, which is carried out according to the node identifier, deployment location and compartment number in the switch cabinet layout file; nodes to be verified with the same compartment number are grouped together, and the compartment number and the identifier of the grouped nodes to be verified are written into the gap area marker. The thermal and humidity change characteristics of the adjacent area are state pairs consisting of temperature change state and humidity change state. The temperature change state is the result of comparing the temperature change amount with the temperature change range, and the humidity change state is the result of comparing the humidity change amount with the humidity change range. The gap anomaly mapping includes the cabinet number corresponding to the gap area marker, the associated node identifier, and the thermal and humidity change characteristics of the neighboring areas of each associated node.

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