A fault detection method and device for highway electromechanical equipment

Abstract

The application provides a highway electromechanical equipment fault detection method and device, the method comprises the following steps: determining the equipment information, position information, installation time of the highway electromechanical equipment in the target area and the correlation information between the highway electromechanical equipments; based on graph theory, at least based on the installation time, position information and correlation information, a highway electromechanical equipment space-time relationship network is constructed; when a first highway electromechanical equipment fails, based on the highway electromechanical equipment space-time relationship network, the position of the first highway electromechanical equipment and at least one second highway electromechanical equipment associated with the first highway electromechanical equipment are determined, based on the at least one second highway electromechanical equipment, reference information for fault detection is determined, the reference information at least comprises position information and equipment information; the reference information is output. The highway electromechanical equipment fault detection method of the application can quickly and accurately determine the highway electromechanical equipment associated with the fault equipment without manual inspection.

Description

Technical Field

[0001] This invention relates to the field of digital technology for highway electromechanical equipment, and in particular to a fault detection method and device for highway electromechanical equipment. Background Technology

[0002] Currently, the total length of highways in many countries has exceeded 5.3 million kilometers, including nearly 180,000 kilometers of expressways. Therefore, the electromechanical equipment along these highways is enormous. For example, the total number of highway traffic volume monitoring devices exceeds 30,000 sets, and video monitoring equipment has basically covered important monitoring points such as long bridges and tunnels, large interchanges, service areas, toll plazas, and overload detection stations, totaling over 380,000 sets. The total number of various highway meteorological monitoring facilities is over 4,400 sets, of which approximately 4,000 are for expressways. Despite this massive scale of highway electromechanical equipment, the operational status of most equipment still relies on manual inspection, which not only consumes a large amount of manpower and resources but also poses serious challenges to efficiency and safety. To improve the efficiency of digital and networked equipment operation and maintenance, intelligent detection of related equipment information is essential. Summary of the Invention

[0003] This invention provides a method and apparatus for detecting faults in highway electromechanical equipment that can quickly and accurately identify the highway electromechanical equipment associated with the faulty equipment without manual inspection.

[0004] To address the aforementioned technical problems, embodiments of the present invention provide a fault detection method for highway electromechanical equipment, comprising:

[0005] Determine the equipment information, location information, installation time, and interrelationship information of highway electromechanical equipment within the target area;

[0006] Based on graph theory, a spatiotemporal relationship network of highway electromechanical equipment is constructed, based at least on the installation time, location information, and correlation information.

[0007] When the first highway electromechanical equipment fails, the location of the first highway electromechanical equipment and at least one second highway electromechanical equipment associated with the first highway electromechanical equipment are determined based on the spatiotemporal relationship network of the highway electromechanical equipment.

[0008] Reference information for fault detection is determined based on the at least one second highway electromechanical equipment, and the reference information includes at least location information and equipment information;

[0009] Output the reference information.

[0010] In some embodiments, determining the equipment information of highway electromechanical equipment within the target area includes:

[0011] Determine one or more pieces of information regarding the name, type, function, and functional coverage of highway electromechanical equipment within the target area;

[0012] The method further includes:

[0013] The device information, location information, and installation time information are stored.

[0014] In some embodiments, determining the relationship information between highway electromechanical equipment within a target area includes:

[0015] Identify highway electromechanical equipment within the target area that share the same power cable and / or optical fiber;

[0016] Highway electromechanical equipment that shares the same cable and / or the same optical fiber is identified as a link;

[0017] The association information is formed based on the link, the road segment where the link is located, and the highway electromechanical equipment included in the link.

[0018] In some embodiments, the construction of a spatiotemporal relationship network for highway electromechanical equipment based on graph theory, at least based on the location information and association information, includes:

[0019] Obtain replacement information for highway electromechanical equipment, including the replacement time;

[0020] Based on dynamic graph and directed graph theory, a spatiotemporal relationship network of highway electromechanical equipment is constructed based on the installation time, replacement time, location information, and correlation information.

[0021] In some embodiments, constructing a spatiotemporal relationship network for highway electromechanical equipment based on the installation time, replacement time, location information, and association information includes:

[0022] Based on the installation time, replacement time, location information, and association information, the spatiotemporal association status of each of the highway electromechanical equipment is statistically analyzed;

[0023] The spatiotemporal state of each of the highway electromechanical equipment is determined based on its spatiotemporal correlation state, installation time, and replacement time.

[0024] A spatiotemporal relationship network for highway electromechanical equipment is constructed based on the spatiotemporal correlation and spatiotemporal state of each of the aforementioned highway electromechanical equipment.

[0025] In some embodiments, the step of statistically analyzing the spatiotemporal correlation status of each of the highway electromechanical devices based on the installation time, replacement time, location information, and association information includes:

[0026] Based on the installation time, replacement time, location information, and correlation information, and combined with the following formula, the spatiotemporal correlation status of each of the highway electromechanical equipment is calculated:

[0027]

[0028] in, This represents the location information of highway electromechanical equipment i at time t. This represents the location information of highway electromechanical equipment i-1 at time t. The location information of highway electromechanical equipment i+1 at time t is represented. Highway electromechanical equipment i-1 and highway electromechanical equipment i+1 represent the upstream and downstream devices that are on the same link as highway electromechanical equipment i and are adjacent to it.

[0029] In some embodiments, determining the spatiotemporal state of each highway electromechanical device based on its spatiotemporal correlation state, installation time, and replacement time includes:

[0030] Based on the spatiotemporal correlation status, installation time, and replacement time of each of the aforementioned highway electromechanical devices, and in conjunction with the following formula, the spatiotemporal status of each highway electromechanical device on each link is determined:

[0031]

[0032] in, Let A be the set of spatiotemporal state information of all highway electromechanical equipment within link j at time t. j (t) represents the spatiotemporal state matrix of all highway motor equipment in link j. B is the set of spatiotemporal associated equipment information for all highway electromechanical equipment within link j. j (t) is the spatiotemporal correlation matrix of all highway electromechanical equipment in link j, and n is the number of highway electromechanical equipment included in link j.

[0033] In some embodiments, constructing a spatiotemporal relationship network for highway electromechanical equipment based on the spatiotemporal correlation state and spatiotemporal state of each of the highway electromechanical equipment includes:

[0034] Based on the spatiotemporal correlation state and spatiotemporal state of each of the aforementioned highway electromechanical equipment, and in conjunction with the following formula, a spatiotemporal relationship network for highway electromechanical equipment is constructed:

[0035]

[0036] Wherein, Ψ(t) is the set of spatiotemporal state information of highway electromechanical equipment in M ​​links at time t, matrix A(t) is the spatiotemporal state matrix of all highway electromechanical equipment in all links at time t, U(t) is the set of spatiotemporal associated equipment information of all highway electromechanical equipment in M ​​links, and B(t) is the spatiotemporal association matrix of all highway electromechanical equipment in M ​​links.

[0037] In some embodiments, determining the reference information for fault detection based on the at least one second highway electromechanical equipment includes:

[0038] Reference information for fault detection is determined based on the at least one second highway electromechanical equipment and the stored information.

[0039] Another embodiment of the present invention also provides a fault detection device for highway electromechanical equipment, comprising:

[0040] The first determining module is used to determine the equipment information, location information, installation time, and correlation information between highway electromechanical equipment within the target area;

[0041] The module is used to construct a spatiotemporal relationship network of highway electromechanical equipment based on graph theory, at least based on the installation time, location information, and correlation information.

[0042] The second determining module is used to determine the location of the first highway electromechanical equipment and at least one second highway electromechanical equipment associated with it based on the spatiotemporal relationship network of the highway electromechanical equipment when the first highway electromechanical equipment fails.

[0043] The third determining module is used to determine reference information for fault detection based on the at least one second highway electromechanical equipment, the reference information including at least location information and equipment information;

[0044] The output module is used to output the reference information.

[0045] Another embodiment of the present invention also provides a computer device, comprising:

[0046] One or more processors;

[0047] Memory, configured to store one or more programs;

[0048] When the one or more programs are executed by the one or more processors, the one or more processors implement the fault detection method for highway electromechanical equipment as described in any of the embodiments above.

[0049] Based on the disclosure of the above embodiments, it can be understood that the beneficial effects of the embodiments of the present invention include establishing a spatiotemporal relationship network of highway electromechanical equipment based on graph theory. Based on this spatiotemporal relationship network, when a fault is determined to occur in a certain highway electromechanical equipment, the system can quickly and accurately identify the highway electromechanical equipment associated with the faulty equipment and output reference information related to the highway electromechanical equipment for reference by staff, thus providing a basis for the rapid detection and maintenance of such highway electromechanical equipment. Attached Figure Description

[0050] Figure 1 This is a flowchart of a fault detection method for highway electromechanical equipment according to an embodiment of the present invention.

[0051] Figure 2 This is a spatiotemporal topology diagram of highway electromechanical equipment in an embodiment of the present invention.

[0052] Figure 3 This is a flowchart of a fault detection method for highway electromechanical equipment according to another embodiment of the present invention.

[0053] Figure 4 This is a structural block diagram of a fault detection device for highway electromechanical equipment in an embodiment of the present invention. Detailed Implementation

[0054] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings, but these are not intended to limit the scope of the invention.

[0055] It should be understood that various modifications can be made to the embodiments disclosed herein. Therefore, the following description should not be considered as limiting, but merely as an example of embodiments. Other modifications within the scope and spirit of this disclosure will be apparent to those skilled in the art.

[0056] The accompanying drawings, which are included in and form part of this specification, illustrate embodiments of the present disclosure and, together with the general description of the disclosure given above and the detailed description of the embodiments given below, serve to explain the principles of the disclosure.

[0057] These and other features of the invention will become apparent from the following description of preferred forms of embodiments given as non-limiting examples, with reference to the accompanying drawings.

[0058] It should also be understood that although the invention has been described with reference to some specific examples, those skilled in the art can certainly implement many other equivalent forms of the invention, which have the features described in the claims and are therefore all within the scope of protection defined herein.

[0059] The above and other aspects, features and advantages of this disclosure will become more apparent when taken in conjunction with the accompanying drawings and in view of the following detailed description.

[0060] Specific embodiments of the present disclosure are described thereafter with reference to the accompanying drawings; however, it should be understood that the disclosed embodiments are merely examples of the present disclosure and can be implemented in various ways. Well-known and / or repeated functions and structures are not described in detail to avoid unnecessary or redundant details that could obscure the present disclosure. Therefore, the specific structural and functional details disclosed herein are not intended to be limiting, but merely to serve as the basis and representative basis for the claims to teach those skilled in the art to use the present disclosure in a variety of substantially any suitable detailed structures.

[0061] This specification may use the phrases “in one embodiment,” “in another embodiment,” “in yet another embodiment,” or “in still another embodiment,” all of which may refer to one or more of the same or different embodiments according to this disclosure.

[0062] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0063] like Figure 1 As shown, this embodiment of the invention provides a fault detection method for highway electromechanical equipment, including:

[0064] S1: Determine the equipment information, location information, installation time, and interrelationship information of highway electromechanical equipment within the target area;

[0065] S2: Based on graph theory, construct a spatiotemporal relationship network of highway electromechanical equipment based at least on installation time, location information, and correlation information;

[0066] S3: When the first highway electromechanical equipment fails, determine the location of the first highway electromechanical equipment and at least one second highway electromechanical equipment associated with it based on the spatiotemporal relationship network of the highway electromechanical equipment.

[0067] S4: Determine reference information for fault detection based on at least one second highway electromechanical equipment, the reference information including at least location information and equipment information;

[0068] S5: Output reference information.

[0069] The method in this embodiment can be implemented based on a program. During implementation, the target area needs to be determined first based on the highway management scope. This can be by including all relevant areas within a single target area, or by dividing a portion of the area into a target area; the specific method is flexible. Once the target area is determined, it is necessary to obtain equipment information, location information, installation time, and inter-equipment relationships of the highway electromechanical equipment within the target area based on databases, historical data, etc. These inter-equipment relationships refer to the mutual influence between the equipment. For example, if one piece of highway electromechanical equipment with an inter-equipment relationship fails, one or more other related pieces of equipment are highly likely to be affected, resulting in abnormal operation or even failure. Since the distribution pattern of highway electromechanical equipment is very similar to graph theory and has directional characteristics, this embodiment uses graph theory as a foundation to construct a spatiotemporal relationship network / model of the electromechanical equipment corresponding to the target area using the acquired information. Specifically, regarding graph theory, a graph G is generally defined as a graph consisting of vertices V and edges E, often represented as G = (V, E), where V = {1, 2, ..., N} represents the N vertices of the graph, and E is a finite set of unordered pairs of two vertices, i.e., the edges of the graph. If every edge in graph G is directed, then G is called a directed graph. Similarly, V is a finite non-empty set of vertices, and E is a set of directed edges, where each edge is an ordered pair (i, j) of two vertices, such as e. ij Let ∈V×V, i≠j represent an edge from vertex i∈V to vertex j∈V. If the number of vertices in graph G=(V,E) changes over time, then the vertex set V of the graph is dynamic. If the edges of graph G=(V,E) are time-varying, then the edge set of the graph is also dynamic. For the network of highway electromechanical equipment, with the replacement of old equipment and the addition of new equipment, it is equivalent to the vertices and edges of the graph changing dynamically. Therefore, a dynamic graph can be used to describe the relationships between electromechanical equipment.

[0070] Once the network is constructed, it records location information, equipment information, and other related information of highway electromechanical equipment at different times. Therefore, when a fault is detected in a piece of highway electromechanical equipment, a matching spatiotemporal relationship network of highway electromechanical equipment can be found based on the unique identifier, location, and area information of the faulty equipment. Based on this network, the program can automatically identify potentially affected highway electromechanical equipment and determine its location information and equipment information, such as equipment type and unique identifier, as reference information. This reference information is then output for staff reference.

[0071] As can be seen from the above embodiments, the beneficial effects of this embodiment include establishing a spatiotemporal relationship network of highway electromechanical equipment based on graph theory. Based on this spatiotemporal relationship network, when a fault is found in a certain highway electromechanical equipment, the system can quickly and accurately identify the highway electromechanical equipment associated with the faulty equipment and output reference information related to the highway electromechanical equipment for reference by staff, thus providing a basis for the rapid detection and maintenance of such highway electromechanical equipment.

[0072] Furthermore, when determining the equipment information of highway electromechanical equipment within the target area, this includes:

[0073] S6: Determine one or more pieces of information regarding the name, type, function, and functional coverage of highway electromechanical equipment within the target area;

[0074] The method further includes:

[0075] S7: Storage device information, location information, and installation time information.

[0076] For example, the name of each highway electromechanical device can be determined, which may be a unique identifier such as a serial number. The type and function should be similar, such as monitoring equipment, which has monitoring capabilities. The functional coverage refers to the range of effects that the equipment can achieve when performing its function; for example, the functional coverage of a monitoring device refers to its ability to monitor road conditions within area 'a'. Other information related to the highway electromechanical equipment can also be obtained, such as the link number connected to the equipment, the number of historical failures, and the causes of those failures. Once the equipment information for each highway electromechanical device within the target area is obtained, the program / system will match and store the equipment information, location information, and installation time corresponding to the same highway electromechanical device for use in generating reference information later.

[0077] When the system determines the relationship information between highway electromechanical equipment within the target area, it includes:

[0078] S8: Identify highway electromechanical equipment within the target area that share the same cable and / or the same optical fiber;

[0079] S9: Highway electromechanical equipment that shares the same cable and / or the same optical fiber is identified as a link;

[0080] S10: Information on the association relationship is formed based on the link, the road segment where the link is located, and the highway electromechanical equipment included in the link.

[0081] like Figure 2As shown in the figure, the road sections within the target area and the highway electromechanical devices on each road section can be determined. Then, the electromechanical devices on each road section can be divided according to the stored device information based on the co-power and co-network association relationship. If several devices share the same cable and optical cable, that is, co-power and co-network, these devices can be called the same link at this time. In this embodiment, it is divided into four levels in total according to the road network, road section, device belonging link, and specific electromechanical device; among them, I, II, ……, N respectively represent different road sections; each road section consists of several electromechanical device links, corresponding to numbers one, two, ……, M; different devices are arranged on each link, and the specific devices are numbered with 1, 2, ……, n. For example, "I-two-3" represents device 3 on the second link of road section I. After numbering by the above method, the highway electromechanical devices with an association relationship can be directly determined based on the numbering information.

[0082] In another embodiment, as Figure 3 shown, based on graph theory, at least a spatio-temporal relationship network of highway electromechanical devices is constructed based on location information and association relationship information, including:

[0083] S11: Obtain the replacement information of highway electromechanical devices, and the replacement information includes the replacement time;

[0084] S12: Based on dynamic graph and directed graph theory, construct a spatio-temporal relationship network of highway electromechanical devices based on installation time, replacement time, location information, and association relationship information.

[0085] For example, the links in each road section are regarded as the root vertices V = {1, 2…N} of the dynamic graph. In the root vertices (each link), each device can be regarded as its branch vertex. Any two adjacent devices within the same link are physically connected by a cable and an optical cable, and are transmitted in the upstream to downstream direction. Then, the transmission direction can be regarded as the directed edge E = {e ij :i,j∈V} of the directed graph. Based on the above theory, the spatio-temporal relationship of the highway electromechanical devices on each link can be described according to the transmission direction. After integrating the spatio-temporal relationships of all links, the spatio-temporal relationship network of highway electromechanical devices can be obtained. When determining the spatio-temporal relationship of the devices on each link, it is necessary to first determine the installation time, replacement time when replacement occurs, and location information of each device on the link based on the obtained device information, so as to statistically construct a spatio-temporal relationship that satisfies the time series and transmission direction.

[0086] Generally, each piece of highway electromechanical equipment exists in two basic states: online and offline. Because highway electromechanical equipment is constantly exposed to the open environment, cables and optical fibers are inevitably susceptible to accidental interference, causing equipment to go offline. Especially for critical equipment, malfunction can have serious consequences. It is not only necessary to promptly identify the cause of the fault and carry out repairs, but also to obtain timely and accurate equipment location information and related equipment information. This is crucial for equipment maintenance and preventing large-scale equipment failures that could pose highway safety hazards. Therefore, this embodiment constructs the spatiotemporal relationship of different links using the method described above. This allows for precise understanding of the spatiotemporal information of each piece of highway electromechanical equipment, greatly facilitating equipment inspection and maintenance.

[0087] Specifically, a spatiotemporal relationship network for highway electromechanical equipment is constructed based on installation time, replacement time, location information, and correlation information, including:

[0088] S13: Statistically analyze the spatiotemporal correlation status of each highway electromechanical equipment based on installation time, replacement time, location information, and correlation information;

[0089] S14: Determine the spatiotemporal status of each highway electromechanical device based on its spatiotemporal correlation status, installation time, and replacement time.

[0090] S15: Construct a spatiotemporal relationship network for highway electromechanical equipment based on the spatiotemporal correlation and spatiotemporal state of each piece of highway electromechanical equipment.

[0091] The spatiotemporal correlation status of each highway electromechanical device is statistically analyzed based on installation time, replacement time, location information, and correlation information, including:

[0092] S16: Based on installation time, replacement time, location information, and correlation information, and combined with the following formula, calculate the spatiotemporal correlation status of each highway electromechanical equipment:

[0093]

[0094] in, This represents the location information of highway electromechanical equipment i at time t. This represents the location information of highway electromechanical equipment i-1 at time t. This represents the location information of highway electromechanical equipment i+1 at time t. Highway electromechanical equipment i-1 and i+1 represent the upstream and downstream devices on the same link as highway electromechanical equipment i, respectively. Time t can be a time before or after the installation time of a certain highway electromechanical equipment. When this time is the replacement time, the corresponding equipment information needs to be updated accordingly, and the information recorded in the network is also updated.

[0095] The spatiotemporal state of each highway electromechanical device is determined based on its spatiotemporal correlation state, installation time, and replacement time, including:

[0096] S17: Based on the spatiotemporal correlation status, installation time, and replacement time of each highway electromechanical device, and in conjunction with the following formula, determine the spatiotemporal status of each highway electromechanical device on each link:

[0097]

[0098] in, Let A be the set of spatiotemporal state information of all highway electromechanical equipment within link j at time t. j (t) represents the spatiotemporal state matrix of all highway motor equipment in link j. B is the set of spatiotemporal associated equipment information for all highway electromechanical equipment within link j. j (t) is the spatiotemporal correlation matrix of all highway electromechanical equipment in link j, and n is the number of highway electromechanical equipment included in link j.

[0099] A spatiotemporal relationship network for highway electromechanical equipment is constructed based on the spatiotemporal correlation and state of each piece of equipment, including:

[0100] S18: Construct a spatiotemporal relationship network for highway electromechanical equipment based on the spatiotemporal correlation state and spatiotemporal state of each piece of highway electromechanical equipment, combined with the following formula:

[0101]

[0102] Wherein, Ψ(t) is the set of spatiotemporal state information of highway electromechanical equipment in M ​​links at time t, matrix A(t) is the spatiotemporal state matrix of all highway electromechanical equipment in all links at time t, U(t) is the set of spatiotemporal associated equipment information of all highway electromechanical equipment in M ​​links, and B(t) is the spatiotemporal association matrix of all highway electromechanical equipment in M ​​links.

[0103] The aforementioned spatiotemporal correlation network corresponds to the target region. If the target region contains only one link, then the spatiotemporal correlation network is also the spatiotemporal correlation network of that link. When there are multiple spatiotemporal correlation networks, they can be numbered and stored for later retrieval.

[0104] As an optional embodiment, the constructed network can display the location relationships of various nodes based on a distribution map. Each node in the map corresponds to a highway electromechanical device. During application, each node can be configured with an associated storage address, which stores the spatiotemporal status information of the highway electromechanical device, its link information, etc. When a worker clicks on a node in the map, the program / system can retrieve the information from that storage address and display the retrieved information in a display box. Furthermore, when a worker clicks on a node in the map, the program / system can highlight other nodes associated with that node, i.e., those located on the same link, based on the link information of that node, for the worker's reference.

[0105] In this embodiment, each node in the network is recorded with a unique identifier. When the first highway electromechanical equipment fails, the system can locate and determine the spatiotemporal association network matching it based on the unique identifier. Based on this network, the system can at least determine other associated second highway electromechanical equipment within the corresponding link. This second highway electromechanical equipment can be one or more. Reference information for fault detection is determined based on at least one second highway electromechanical equipment, including:

[0106] S19: Determine reference information for fault detection based on at least one second highway electromechanical device and stored information.

[0107] For example, once the second set of highway electromechanical equipment is identified, its unique identifier is simultaneously determined based on the network. Using this identifier, the system can then match and search the stored information to obtain the equipment information for each set of second highway electromechanical equipment. Based on this equipment information, reference information can then be generated.

[0108] When generating reference information, it can be generated based on the default configuration or based on the user's custom configuration. The configuration refers to the information included in the reference information.

[0109] like Figure 4 As shown, another embodiment of the present invention also provides a fault detection device 100 for highway electromechanical equipment, comprising:

[0110] The first determining module is used to determine the equipment information, location information, installation time, and correlation information between highway electromechanical equipment within the target area;

[0111] The module is used to construct a spatiotemporal relationship network of highway electromechanical equipment based on graph theory, at least based on the installation time, location information, and correlation information.

[0112] The second determining module is used to determine the location of the first highway electromechanical equipment and at least one second highway electromechanical equipment associated with it based on the spatiotemporal relationship network of the highway electromechanical equipment when the first highway electromechanical equipment fails.

[0113] The third determining module is used to determine reference information for fault detection based on the at least one second highway electromechanical equipment, the reference information including at least location information and equipment information;

[0114] The output module is used to output the reference information.

[0115] In some embodiments, determining the equipment information of highway electromechanical equipment within the target area includes:

[0116] Determine one or more pieces of information regarding the name, type, function, and functional coverage of highway electromechanical equipment within the target area;

[0117] The device further includes:

[0118] The storage module is used to store the device information, location information, and installation time information.

[0119] In some embodiments, determining the relationship information between highway electromechanical equipment within a target area includes:

[0120] Identify highway electromechanical equipment within the target area that share the same power cable and / or optical fiber;

[0121] Highway electromechanical equipment that shares the same cable and / or the same optical fiber is identified as a link;

[0122] The association information is formed based on the link, the road segment where the link is located, and the highway electromechanical equipment included in the link.

[0123] In some embodiments, the construction of a spatiotemporal relationship network for highway electromechanical equipment based on graph theory, at least based on the location information and association information, includes:

[0124] Obtain replacement information for highway electromechanical equipment, including the replacement time;

[0125] Based on dynamic graph and directed graph theory, a spatiotemporal relationship network of highway electromechanical equipment is constructed based on the installation time, replacement time, location information, and correlation information.

[0126] In some embodiments, constructing a spatiotemporal relationship network for highway electromechanical equipment based on the installation time, replacement time, location information, and association information includes:

[0127] Based on the installation time, replacement time, location information, and association information, the spatiotemporal association status of each of the highway electromechanical equipment is statistically analyzed;

[0128] The spatiotemporal state of each of the highway electromechanical equipment is determined based on its spatiotemporal correlation state, installation time, and replacement time.

[0129] A spatiotemporal relationship network for highway electromechanical equipment is constructed based on the spatiotemporal correlation and spatiotemporal state of each of the aforementioned highway electromechanical equipment.

[0130] In some embodiments, the step of statistically analyzing the spatiotemporal correlation status of each of the highway electromechanical devices based on the installation time, replacement time, location information, and association information includes:

[0131] Based on the installation time, replacement time, location information, and correlation information, and combined with the following formula, the spatiotemporal correlation status of each of the highway electromechanical equipment is calculated:

[0132]

[0133] in, This represents the location information of highway electromechanical equipment i at time t. This represents the location information of highway electromechanical equipment i-1 at time t. The location information of highway electromechanical equipment i+1 at time t is represented. Highway electromechanical equipment i-1 and highway electromechanical equipment i+1 represent the upstream and downstream devices that are on the same link as highway electromechanical equipment i and are adjacent to it.

[0134] In some embodiments, determining the spatiotemporal state of each highway electromechanical device based on its spatiotemporal correlation state, installation time, and replacement time includes:

[0135] Based on the spatiotemporal correlation status, installation time, and replacement time of each of the aforementioned highway electromechanical devices, and in conjunction with the following formula, the spatiotemporal status of each highway electromechanical device on each link is determined:

[0136]

[0137] in, Let A be the set of spatiotemporal state information of all highway electromechanical equipment within link j at time t. j (t) represents the spatiotemporal state matrix of all highway motor equipment in link j. B is the set of spatiotemporal associated equipment information for all highway electromechanical equipment within link j. j (t) is the spatiotemporal correlation matrix of all highway electromechanical equipment in link j, and n is the number of highway electromechanical equipment included in link j.

[0138] In some embodiments, constructing a spatiotemporal relationship network for highway electromechanical equipment based on the spatiotemporal correlation state and spatiotemporal state of each of the highway electromechanical equipment includes:

[0139] Based on the spatiotemporal correlation state and spatiotemporal state of each of the aforementioned highway electromechanical equipment, and in conjunction with the following formula, a spatiotemporal relationship network for highway electromechanical equipment is constructed:

[0140]

[0141] Wherein, Ψ(t) is the set of spatiotemporal state information of highway electromechanical equipment in M ​​links at time t, matrix A(t) is the spatiotemporal state matrix of all highway electromechanical equipment in all links at time t, U(t) is the set of spatiotemporal associated equipment information of all highway electromechanical equipment in M ​​links, and B(t) is the spatiotemporal association matrix of all highway electromechanical equipment in M ​​links.

[0142] In some embodiments, determining the reference information for fault detection based on the at least one second highway electromechanical equipment includes:

[0143] Reference information for fault detection is determined based on the at least one second highway electromechanical equipment and the stored information.

[0144] Another embodiment of the present invention also provides a computer device, comprising:

[0145] One or more processors;

[0146] Memory, configured to store one or more programs;

[0147] When the one or more programs are executed by the one or more processors, the one or more processors implement the fault detection method for highway electromechanical equipment as described in any of the embodiments above.

[0148] Another embodiment of the present invention provides a storage medium including a stored program, wherein, when the program is executed, a device including the storage medium is controlled to perform a fault detection method for highway electromechanical equipment as described in any of the preceding embodiments.

[0149] This invention also provides a computer program product, which is tangibly stored on a computer-readable medium and includes computer-readable instructions. When executed, these computer-executable instructions cause at least one processor to perform a fault detection method for highway electromechanical equipment, as described in the embodiments above. It should be understood that the various solutions in this embodiment have the corresponding technical effects in the above-described method embodiments, and will not be repeated here.

[0150] It should be noted that the computer storage medium in this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. Computer-readable media can be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access storage media (RAM), read-only storage media (ROM), erasable programmable read-only storage media (EPROM or flash memory), optical fibers, portable compact disk read-only storage media (CD-ROM), optical storage media, magnetic storage media, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program configured for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, antenna, optical fiber, RF, etc., or any suitable combination thereof.

[0151] It should be understood that although this application is described according to various embodiments, not every embodiment contains only one independent technical solution. This way of describing the specification is only for clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

[0152] The above embodiments are merely exemplary embodiments of the present invention and are not intended to limit the present invention. The scope of protection of the present invention is defined by the claims. Those skilled in the art can make various modifications or equivalent substitutions to the present invention within its spirit and scope of protection, and such modifications or equivalent substitutions should also be considered to fall within the scope of protection of the present invention.

Claims

1. A fault detection method for highway electromechanical equipment, characterized in that, include: Determine the equipment information, location information, installation time, and interrelationship information of highway electromechanical equipment within the target area; Based on graph theory, a spatiotemporal relationship network of highway electromechanical equipment is constructed, based at least on the installation time, location information, and correlation information. When the first highway electromechanical equipment fails, the location of the first highway electromechanical equipment and at least one second highway electromechanical equipment associated with the first highway electromechanical equipment are determined based on the spatiotemporal relationship network of the highway electromechanical equipment. Reference information for fault detection is determined based on the at least one second highway electromechanical equipment, and the reference information includes at least location information and equipment information; Output the reference information; The construction of a spatiotemporal relationship network for highway electromechanical equipment based on graph theory, at least based on the location information and correlation information, includes: Obtain replacement information for highway electromechanical equipment, including the replacement time; Based on dynamic graph and directed graph theory, a spatiotemporal relationship network of highway electromechanical equipment is constructed based on the installation time, replacement time, location information, and correlation information. The construction of the spatiotemporal relationship network for highway electromechanical equipment based on the installation time, replacement time, location information, and correlation information includes: Based on the installation time, replacement time, location information, and association information, the spatiotemporal association status of each of the highway electromechanical equipment is statistically analyzed; The spatiotemporal state of each of the highway electromechanical equipment is determined based on its spatiotemporal correlation state, installation time, and replacement time. A spatiotemporal relationship network of highway electromechanical equipment is constructed based on the spatiotemporal association and spatiotemporal state of each of the aforementioned highway electromechanical equipment. The construction of a spatiotemporal relationship network for highway electromechanical equipment based on the spatiotemporal correlation and spatiotemporal state of each piece of highway electromechanical equipment includes: Based on the spatiotemporal correlation state and spatiotemporal state of each of the aforementioned highway electromechanical equipment, and in conjunction with the following formula, a spatiotemporal relationship network for highway electromechanical equipment is constructed: in, For M links of highway electromechanical equipment The set of spatiotemporal state information at any given moment, a matrix For all highway electromechanical equipment in The spatiotemporal state matrix at time t. This is a set of spatiotemporal associated equipment information for all highway electromechanical equipment within M links. Let M be the spatiotemporal correlation matrix of all highway electromechanical equipment within M links.

2. The fault detection method for highway electromechanical equipment according to claim 1, characterized in that, The equipment information for highway electromechanical equipment within the target area includes: Determine one or more pieces of information regarding the name, type, function, and functional coverage of highway electromechanical equipment within the target area; The method further includes: The device information, location information, and installation time information are stored.

3. The fault detection method for highway electromechanical equipment according to claim 1, characterized in that, Determine the interrelationship information between highway electromechanical equipment within the target area, including: Identify highway electromechanical equipment within the target area that share the same power cable and / or optical fiber; Highway electromechanical equipment that shares the same cable and / or the same optical fiber is identified as a link; The association information is formed based on the link, the road segment where the link is located, and the highway electromechanical equipment included in the link.

4. The fault detection method for highway electromechanical equipment according to claim 1, characterized in that, The process of statistically analyzing the spatiotemporal correlation status of each highway electromechanical device based on the installation time, replacement time, location information, and correlation information includes: Based on the installation time, replacement time, location information, and correlation information, and combined with the following formula, the spatiotemporal correlation status of each of the highway electromechanical equipment is calculated: in, Indicates highway electromechanical equipment i in Location information at any given time Indicates that highway electromechanical equipment i-1 is in Location information at any given time This indicates that the highway electromechanical equipment i+1 is in The location information at any given time, wherein the highway electromechanical equipment i-1 and highway electromechanical equipment i+1 respectively represent the upstream and downstream equipment that are on the same link as highway electromechanical equipment i and are adjacent to it.

5. The fault detection method for highway electromechanical equipment according to claim 4, characterized in that, The determination of the spatiotemporal state of each highway electromechanical device based on its spatiotemporal correlation state, installation time, and replacement time includes: Based on the spatiotemporal correlation status, installation time, and replacement time of each of the aforementioned highway electromechanical devices, and in conjunction with the following formula, the spatiotemporal status of each highway electromechanical device on each link is determined: in, For all highway electromechanical equipment within link j The set of spatiotemporal state information at any given moment. Let j be the spatiotemporal state matrix of all highway motor devices in link j. This is a set of spatiotemporal associated device information for all highway electromechanical equipment within link j. Let j be the spatiotemporal correlation matrix of all highway electromechanical equipment within link j. n Let j be the number of highway electromechanical equipment contained in link j.

6. The fault detection method for highway electromechanical equipment according to claim 2, characterized in that, The determination of reference information for fault detection based on the at least one second highway electromechanical equipment includes: Reference information for fault detection is determined based on the at least one second highway electromechanical equipment and the stored information.

7. A fault detection device for highway electromechanical equipment, characterized in that, include: The first determining module is used to determine the equipment information, location information, installation time, and correlation information between highway electromechanical equipment within the target area; The module is used to construct a spatiotemporal relationship network of highway electromechanical equipment based on graph theory, at least based on the installation time, location information, and correlation information. The second determining module is used to determine the location of the first highway electromechanical equipment and at least one second highway electromechanical equipment associated with it based on the spatiotemporal relationship network of the highway electromechanical equipment when the first highway electromechanical equipment fails. The third determining module is used to determine reference information for fault detection based on the at least one second highway electromechanical equipment, the reference information including at least location information and equipment information; An output module is used to output the reference information; The construction of a spatiotemporal relationship network for highway electromechanical equipment based on graph theory, at least based on the location information and correlation information, includes: Obtain replacement information for highway electromechanical equipment, including the replacement time; Based on dynamic graph and directed graph theory, a spatiotemporal relationship network of highway electromechanical equipment is constructed based on the installation time, replacement time, location information, and correlation information. The construction of the spatiotemporal relationship network for highway electromechanical equipment based on the installation time, replacement time, location information, and correlation information includes: Based on the installation time, replacement time, location information, and association information, the spatiotemporal association status of each of the highway electromechanical equipment is statistically analyzed; The spatiotemporal state of each of the highway electromechanical equipment is determined based on its spatiotemporal correlation state, installation time, and replacement time. A spatiotemporal relationship network of highway electromechanical equipment is constructed based on the spatiotemporal association and spatiotemporal state of each of the aforementioned highway electromechanical equipment. The construction of a spatiotemporal relationship network for highway electromechanical equipment based on the spatiotemporal correlation and spatiotemporal state of each piece of highway electromechanical equipment includes: Based on the spatiotemporal correlation state and spatiotemporal state of each of the aforementioned highway electromechanical equipment, and in conjunction with the following formula, a spatiotemporal relationship network for highway electromechanical equipment is constructed: in, For M links of highway electromechanical equipment The set of spatiotemporal state information at any given moment, a matrix For all highway electromechanical equipment in The spatiotemporal state matrix at time t. This is a set of spatiotemporal associated equipment information for all highway electromechanical equipment within M links. Let M be the spatiotemporal correlation matrix of all highway electromechanical equipment within M links.

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