Temperature monitoring method, device, electronic device and computer readable storage medium

Abstract

The present application relates to a method, device, electronic device and computer-readable storage medium for temperature monitoring, and relates to the field of temperature monitoring. The method comprises: obtaining current temperature data and location names corresponding to each electrical contact, establishing a first correspondence between the location name and the current temperature data, analyzing the current temperature data, and quickly determining abnormal electrical contacts based on the analysis results and the correspondence between the location name and the current temperature. The method, device, electronic device and computer-readable storage medium for temperature monitoring provided by the present application can detect abnormal electrical nodes in a timely manner, and further improve the safety of electrical equipment.

Description

Technical Field

[0001] The present application relates to the technical field of temperature monitoring, and in particular to a method, device, electronic device and computer-readable storage medium for temperature monitoring. Background Art

[0002] In the power system, there are a large number of variable temperatures that need to be monitored and warned throughout the entire transmission process from power plants to power transmission and transformation equipment and to end-user electrical appliances. Abnormalities at the electrical equipment connections can cause damage to the electrical equipment, and even cause fire and explosion of primary equipment. High-voltage electrical equipment used in the production process of producing, transmitting and distributing electric energy is called primary equipment. When an abnormality occurs at the electrical contact, the temperature of the electrical contact rises.

[0003] The inventors found during the research process that the equipment is easily burned out due to the failure to timely detect abnormalities of various electrical contacts and monitor abnormal electrical contacts. Therefore, how to timely detect abnormalities of electrical equipment becomes a key issue. Summary of the invention

[0004] The purpose of this application is to provide a temperature monitoring method, device, electronic device and computer-readable storage medium to solve at least one of the above problems.

[0005] The above invention objectives of the present application are achieved through the following technical solutions:

[0006] In a first aspect, a temperature monitoring method is provided, the method comprising:

[0007] Get the current temperature data and location name corresponding to each electrical contact;

[0008] Establishing a first corresponding relationship between the location name and the current temperature data;

[0009] The current temperature data is analyzed, and an abnormal electrical contact is determined based on the analysis result and the first corresponding relationship.

[0010] In a possible implementation, analyzing the current temperature data and determining the abnormal electrical contact based on the analysis result and the first corresponding relationship includes any one of the following:

[0011] Analyzing the current temperature data and the corresponding preset maximum alarm temperature limit, and determining the abnormal electrical contact based on the analysis result and the first corresponding relationship;

[0012] The historical temperature data corresponding to each electrical contact is obtained, and the historical temperature data is compared with the current temperature data, and the abnormal electrical contact is determined based on the first corresponding relationship.

[0013] In another possible implementation, analyzing the current temperature data and the corresponding preset maximum alarm temperature limit, and determining the abnormal electrical contact based on the analysis result and the first corresponding relationship, includes:

[0014] Determine whether the current temperature data is less than the preset maximum alarm temperature limit to obtain a first determination result;

[0015] If the first judgment result is no, the abnormal electrical contact is determined based on the first corresponding relationship.

[0016] In another possible implementation, the method further includes:

[0017] If the first judgment result is yes, then judging whether the current temperature data is less than a preset minimum alarm temperature limit, and obtaining a second judgment result;

[0018] If the second judgment result is no, the electrical contact to be monitored is determined based on the current temperature data and the first corresponding relationship.

[0019] In another possible implementation, the method further includes:

[0020] Obtaining current basic data, historical abnormal temperature data and historical abnormal basic data corresponding to each electrical contact, wherein the current basic data includes: current material data, current ambient temperature data and current ambient humidity data, and the historical abnormal basic data includes: historical abnormal material data, historical abnormal ambient temperature data and historical abnormal ambient humidity data;

[0021] Establishing a second corresponding relationship between the historical abnormal basic data and the historical abnormal temperature data;

[0022] The historical abnormal temperature data and the historical abnormal basic data are input into the original model for training to obtain a prediction model.

[0023] Based on the current basic data and the current temperature data, an abnormal prediction electrical contact is determined by the prediction model.

[0024] In another possible implementation, the step of acquiring the current basic data, the historical abnormal temperature data, and the historical abnormal basic data corresponding to each electrical contact respectively further includes:

[0025] Get historical abnormal reasons;

[0026] Based on the second corresponding relationship, establishing a third corresponding relationship between the historical abnormal cause and at least one of the historical abnormal basic data and the historical abnormal temperature data;

[0027] Based on the historical abnormal basic data and the historical abnormal temperature data, matching the current temperature data corresponding to the abnormal electrical contact with the current basic data;

[0028] Based on the matching result and the third corresponding relationship, a current abnormality cause is determined from the historical abnormality causes.

[0029] In another possible implementation, the current temperature data is analyzed, and the abnormal electrical contact is determined based on the analysis result and the first corresponding relationship, and then the method further includes:

[0030] Obtain the connection relationship between various electrical contacts;

[0031] Determining an associated electrical contact based on a preset weight corresponding to the current basic data, the current temperature data, the first corresponding relationship, and the connection relationship;

[0032] Sends the location name of the associated electrical point.

[0033] In a second aspect, a temperature monitoring device is provided, the device comprising:

[0034] The first acquisition module is used to obtain the current temperature data and position name corresponding to each electrical contact;

[0035] A first establishing module, used for establishing a first corresponding relationship between the location name and the current temperature data;

[0036] The first determination module is used to analyze the current temperature data and determine the abnormal electrical contact based on the analysis result and the first corresponding relationship.

[0037] In a possible implementation, when the first determination module analyzes the current temperature data and determines the abnormal electrical contact based on the analysis result and the first corresponding relationship, it is specifically used to:

[0038] Analyze the current temperature data and the corresponding preset maximum alarm temperature limit, and determine the abnormal electrical contact based on the analysis result and the first corresponding relationship; or,

[0039] The historical temperature data corresponding to each electrical contact is obtained, and the historical temperature data is compared with the current temperature data, and the abnormal electrical contact is determined based on the first corresponding relationship.

[0040] In another possible implementation, when the first determination module analyzes the current temperature data and the corresponding preset maximum alarm temperature limit and determines the abnormal electrical contact based on the analysis result and the first corresponding relationship, it is specifically used to:

[0041] Determine whether the current temperature data is less than the preset maximum alarm temperature limit to obtain a first determination result;

[0042] If the first judgment result is no, the abnormal electrical contact is determined based on the first corresponding relationship.

[0043] In another possible implementation, the device further includes: a first judging module, a second determining module, a second judging module, and a third determining module, wherein:

[0044] The first judgment module is used to judge whether the current temperature data is less than a preset minimum alarm temperature limit when the first judgment result is yes, to obtain a second judgment result;

[0045] The second determination module is used to determine the electrical contact to be monitored based on the current temperature data and the first corresponding relationship when the second judgment result is no.

[0046] In another possible implementation, the device further includes: a second acquisition module, a second establishment module, a training module, and a third determination module, wherein:

[0047] The second acquisition module is used to acquire the current basic data, historical abnormal temperature data and historical abnormal basic data corresponding to each electrical contact, the current basic data includes: current material data, current ambient temperature data and current ambient humidity data, and the historical abnormal basic data includes: historical abnormal material data, historical abnormal ambient temperature data and historical abnormal ambient humidity data;

[0048] The second establishing module is used to establish a second corresponding relationship between the historical abnormal basic data and the historical abnormal temperature data;

[0049] The training module is used to input the historical abnormal temperature data and the historical abnormal basic data into the original model for training to obtain a prediction model.

[0050] The third determination module is used to determine the abnormal prediction electrical contact through the prediction model based on the current basic data and the current temperature data.

[0051] In another possible implementation, the device further includes: a third acquisition module, a third establishment module, a matching module, and a fourth determination module, wherein:

[0052] The third acquisition module is used to obtain historical abnormal reasons;

[0053] The third establishing module is used to establish a third corresponding relationship between the historical abnormal cause and at least one of the historical abnormal basic data and the historical abnormal temperature data based on the second corresponding relationship;

[0054] The matching module is used to match the current temperature data corresponding to the abnormal electrical contact with the current basic data based on the historical abnormal basic data and the historical abnormal temperature data;

[0055] The fourth determination module is used to determine the current abnormal cause from the historical abnormal causes based on the matching result and the third corresponding relationship.

[0056] In another possible implementation, the device further includes: a fourth acquisition module, a fifth determination module, and a sending module, wherein:

[0057] The fourth acquisition module is used to acquire the connection relationship between the electrical contacts;

[0058] The fifth determination module is used to determine the associated electrical contacts based on the preset weight corresponding to the current basic data, the current temperature data, the first corresponding relationship and the connection relationship;

[0059] The sending module is used to send the location name of the associated electrical contact.

[0060] In a third aspect, an electronic device is provided, the electronic device comprising:

[0061] One or more processors;

[0062] Memory;

[0063] One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, and the one or more applications are configured to: perform operations corresponding to the temperature monitoring method shown in any possible implementation of the first aspect.

[0064] In a fourth aspect, a computer-readable storage medium is provided, wherein the storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, at least one program, a code set or an instruction set is loaded and executed by a processor to implement a temperature monitoring method as shown in any possible implementation method of the first aspect.

[0065] In summary, the present application includes at least one of the following beneficial technical effects:

[0066] The present application provides a temperature monitoring method, device, electronic device and computer-readable storage medium. Compared with the related art, in the present application, by obtaining the current temperature data and location name corresponding to each electrical contact, and establishing a first correspondence between the location name and the current temperature data, and analyzing the current temperature data, the abnormal electrical contacts are quickly determined based on the analysis results and the first correspondence between the location name and the current temperature, so that the abnormality of the electrical contacts can be discovered in time, thereby improving the safety of the electrical equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 It is a flow chart of a temperature monitoring method provided in an embodiment of the present application.

[0068] Figure 2 This is a temperature monitoring schematic diagram provided in an embodiment of the present application.

[0069] Figure 3 It is a schematic diagram of the structure of a temperature monitoring device provided in an embodiment of the present application.

[0070] Figure 4 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0071] The present application is further described in detail below in conjunction with the accompanying drawings.

[0072] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, those skilled in the art may make modifications to the present embodiment without any creative contribution as needed, but such modifications are protected by the patent law as long as they are within the scope of the claims of the present application.

[0073] In the power system, there are a large number of variable temperatures that need to be detected and warned throughout the entire transmission process from power plants to power transmission and transformation equipment and to end-user electrical appliances. High-voltage equipment connection parts such as busbar connection points, various switches, circuit breakers, main transformer bushing clamps and high-voltage cable joints are prone to poor contact and increased contact resistance due to climate changes, material aging, corrosion and looseness, which increases the temperature. When a large current passes through, it is easy to burn the equipment, and even cause a fire and explosion of the equipment in severe cases. If the operating status of these temperature rise fault points is dynamically tracked and monitored, it can not only prevent and eliminate the occurrence of such accidents, but also provide important decision-making basis for safe and reliable analysis and scientific dispatching of power systems. At present, manual patrol temperature measurement, temperature measurement with temperature measuring film, infrared pistol temperature measurement, infrared imager temperature measurement and optical fiber line temperature measurement are mainly used.

[0074] Current temperature monitoring technology has many shortcomings. For example, manual inspections are labor-intensive and require additional staff. They are also time-consuming, inefficient, and inaccurate in temperature measurement. Fiber optic temperature measurement cannot accurately display the temperature at the intermediate joints. Fiber optic sensors are easy to break, and they suffer severe losses when bent. Demodulation equipment is expensive, and there are large human and environmental interference factors. Historical data cannot be analyzed in a timely and effective manner, so there is a risk of not being able to detect faults in a timely manner, and the temperature of some key joints inside electrical equipment cannot be measured.

[0075] In order to solve the problems existing in the existing temperature measurement technology, the embodiment of the present application adopts a point temperature sensor to meet the demand for real-time monitoring of the temperature at the connection of electrical equipment, and networks for wireless distributed temperature collection. By installing temperature sensors at the electrical contacts that need to be monitored, the temperature sensors adopt the (Long Range, LORA) local area network wireless standard. According to the locations that need to be monitored, electrical equipment contacts, cables and busbars (no quantity limit), etc., temperature data is collected in real time by induction power collection, which greatly extends the service life of the sensor.

[0076] The embodiment of the present application realizes the setting of a single-point temperature threshold of the equipment, and provides early warning to prevent accidents in case of overheating. The open MODBUS communication protocol can be seamlessly integrated with other management systems of the power system, which is convenient for staff to conduct comprehensive data analysis and diagnose the cause of the fault, and solves the labor intensity of regular on-site inspections by staff under the traditional method and the high cost caused by the increase of staff. It solves the problem of inaccurate temperature measurement in the traditional temperature measurement method. Compared with other wired linear geographic environment data collection solutions, it is more cost-effective and more convenient to deploy and maintain. It is a great supplement and expansion to the Ubiquitous Electric Internet of Things (UEIOT), and can continue to extend and cover underground areas that were previously difficult to reach. During the temperature data transmission process, the staff can grasp the relationship between each level and each device in the temperature data transmission process.

[0077] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0078] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0079] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0080] The embodiment of the present application provides a temperature monitoring method, which is performed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. Figure 1 As shown, the method may include:

[0081] Step S101, obtaining current temperature data and position names corresponding to each electrical contact.

[0082] For the embodiments of the present application, the temperature acquisition device can collect the current temperature data corresponding to each electrical contact in real time, or collect the current temperature data corresponding to each electrical contact at preset time intervals. It can also collect the current temperature data corresponding to each electrical contact when a user's trigger instruction is detected, and send the current temperature data corresponding to each electrical contact to the temperature measurement receiving host. The temperature measurement receiving host connects the current temperature data corresponding to each electrical contact to the serial port server based on 485 communication and standard MODBUS-RTU protocol, and sends it to the cloud server through the serial port server for storage, so as to accumulate operating experience and analyze the cause of the abnormality.

[0083] In the above application embodiment, after the temperature acquisition device acquires the current temperature data corresponding to each electrical contact, the cloud storage device can store the current temperature data corresponding to each electrical contact and send it to other devices for storage.

[0084] It should be noted that the temperature acquisition device can be a device independent of the above-mentioned electronic equipment. The temperature acquisition device includes a temperature sensor and a temperature measurement receiving host. The temperature sensor collects the current temperature data corresponding to each electrical contact and sends the current temperature data corresponding to each electrical contact to the temperature measurement receiving host.

[0085] Furthermore, in order to analyze the current temperature data, the electronic device can obtain the current temperature data corresponding to each electrical contact from the temperature acquisition device or the cloud server in real time, or obtain the current temperature data corresponding to each electrical contact from the temperature acquisition device or the cloud server at preset time intervals, and can also obtain the current temperature data corresponding to each electrical contact from the electronic device when a current temperature data analysis instruction triggered by the user is detected.

[0086] In order to determine the abnormal electrical contacts, the position names corresponding to each electrical contact are also needed. Specifically, in the embodiment of the present application, the electronic device can obtain the position names corresponding to each electrical contact from local storage, or obtain the position names corresponding to each electrical contact from other devices, or obtain the position names corresponding to each electrical contact input by the user, which is not limited in the embodiment of the present application. Further, it should be noted that: the position names corresponding to each electrical contact can be obtained before obtaining the current temperature data corresponding to each electrical contact, or the position names corresponding to each electrical contact can be obtained after obtaining the current temperature data corresponding to each electrical contact, or the current temperature data corresponding to each electrical contact and the position names corresponding to each electrical contact can be obtained at the same time.

[0087] Step S102: establishing a first corresponding relationship between the location name and the current temperature data.

[0088] For the embodiment of the present application, the current temperature data corresponding to each electrical contact is different, and a first correspondence between the position name and the current temperature data is established to facilitate the determination of abnormal electrical contacts. In the embodiment of the present application, the position name can be a position name preset by the user, for example, bus 1, or it can be a position name set by the electronic device according to the preset electrical contact material, for example, electrical contact material n+1, where n is the existing quantity corresponding to the same electrical contact material. For example, the existing quantity of the bus is 2, and the electronic device recognizes that the electrical contact material is a bus, and the position name of the bus is bus 3.

[0089] Step S103: Analyze the current temperature data, and determine the abnormal electrical contacts based on the analysis result and the first corresponding relationship.

[0090] For the embodiment of the present application, when the current temperature data is abnormal, the electrical contact corresponding to the current temperature data is an abnormal electrical contact. The abnormal electrical contact is determined by the first corresponding relationship, and the abnormal electrical contact is an electrical contact that may be abnormal.

[0091] The embodiment of the present application provides a method for temperature monitoring. Compared with the related art, in the embodiment of the present application, the current temperature data and the location name corresponding to each electrical contact are obtained, and a first correspondence between the location name and the current temperature data is established, and the current temperature data is analyzed. Then, based on the analysis results and the first correspondence between the location name and the current temperature, the abnormal electrical contacts are quickly determined, so that the abnormalities of the electrical contacts can be discovered in time, thereby improving the safety of the electrical equipment.

[0092] In a possible implementation of the embodiment of the present application, in step S103, the current temperature data is analyzed, and the abnormal electrical contact is determined based on the analysis result and the first corresponding relationship, which may specifically include: step S1031 (not shown in the figure) or step S1032 (not shown in the figure), wherein:

[0093] Step S1031: Analyze the current temperature data and the corresponding preset maximum alarm temperature limit, and determine the abnormal electrical contact based on the analysis result and the first corresponding relationship.

[0094] For the embodiment of the present application, the preset maximum alarm temperature limit is the temperature at which abnormalities may occur in the electrical contacts. The preset maximum alarm temperature limits corresponding to the respective electrical contacts may be all the same, partially the same, or completely different, which is not limited in the embodiment of the present application.

[0095] For the embodiments of the present application, if the preset maximum alarm temperature limits corresponding to each electrical contact are all the same, the current temperature data corresponding to each electrical contact and the preset maximum alarm temperature limit are analyzed, and the abnormal electrical contact is determined based on the analysis result and the first corresponding relationship; if the preset maximum alarm temperature limits corresponding to each electrical contact are partially the same or completely different, the current temperature data corresponding to each electrical contact and the preset maximum alarm temperature limit are analyzed, and the abnormal electrical contact is determined based on the analysis result and the first corresponding relationship.

[0096] Another possible implementation of the embodiment of the present application is to analyze the current temperature data and the corresponding preset maximum alarm temperature limit in step S1031, and determine the abnormal electrical contact based on the analysis result and the first corresponding relationship, which may specifically include: step S10311 (not shown in the figure) and step S10312 (not shown in the figure), wherein:

[0097] Step S10311, determine whether the current temperature data is less than the preset maximum alarm temperature limit, and obtain a first determination result.

[0098] For the embodiment of the present application, the preset maximum alarm temperature limit is the temperature at which the electrical contacts may be abnormal. When the electrical contacts may be abnormal, the user is required to check and determine whether the current temperature data is less than the preset maximum alarm temperature limit to identify the abnormal electrical contacts.

[0099] Step S10312: If the first judgment result is no, determine the abnormal electrical contact based on the first corresponding relationship.

[0100] For the embodiments of the present application, when the current temperature data corresponding to the electrical contact is greater than or equal to the preset maximum alarm temperature limit, the current temperature data is abnormal temperature data. Based on the first correspondence between the abnormal temperature data and the location name, the electrical contact is determined as an abnormal electrical contact so that the staff can find the electrical contact. After the abnormal electrical contact is determined, an alarm message is sent. The alarm message includes: the location name of the abnormal electrical contact. By setting the preset maximum alarm temperature limit corresponding to each electrical contact, in the case of overheating, the abnormal electrical contact is determined in advance and the alarm message is sent so that the staff can easily locate the abnormal electrical contact and improve the safety of electrical equipment.

[0101] Step S1032: Obtain historical temperature data corresponding to each electrical contact, compare the historical temperature data with the current temperature data, and determine the abnormal electrical contact based on the first corresponding relationship.

[0102] For the embodiment of the present application, the historical temperature data corresponding to each electrical contact can be obtained from local storage or from other devices, such as a cloud server. The historical power consumption data corresponding to each electrical node input by the user can also be obtained. In the embodiment of the present application, the historical temperature data corresponding to each electrical contact can be the historical temperature data of the previous hour or the previous month at the current moment corresponding to the current temperature data. The specific time range is not limited in the embodiment of the present application.

[0103] For the embodiments of the present application, the temperature data range of each electrical contact when it is working normally is determined based on the historical temperature data corresponding to each electrical contact. When the current temperature data corresponding to the electrical contact is not within the temperature data range when the electrical contact is working normally, the current temperature data corresponding to the electrical contact is abnormal temperature data. Based on the correspondence between the abnormal temperature data and the position name, for example, based on the historical temperature data of electrical contact 1 within a week, it is determined that the temperature data of electrical contact 1 when it is working normally is 30°-50°, the current temperature data of electrical contact 1 is 70°, and the position name corresponding to the current temperature data is bus 1, then bus 1 is an abnormal electrical contact.

[0104] For the embodiment of the present application, abnormal electrical contacts are determined based on current temperature data so that the staff can eliminate the abnormal conditions of the electrical contacts, reduce damage to electrical equipment, and reduce the maintenance costs of the enterprise.

[0105] For the embodiments of the present application, after obtaining the current temperature data and historical temperature data corresponding to each electrical contact, the display device can display the current temperature data and historical temperature data corresponding to each electrical contact in real time, and can also display the current temperature data and historical temperature data corresponding to each electrical contact when a display instruction triggered by the user is detected. In order to more intuitively represent the changes in the temperature data corresponding to each electrical contact, the current temperature data and historical temperature data corresponding to each electrical contact are displayed through a temperature curve chart, so that the user can understand the temperature changes corresponding to each electrical contact.

[0106] Furthermore, it should be noted that the display device may be a device independent of the above electronic device, or may be a display module in the above electronic device.

[0107] Another possible implementation method of the embodiment of the present application, the method may also include: step Sa1 (not shown in the figure) and step Sa2 (not shown in the figure), wherein, in step Sa1, if the first judgment result is yes, then determine whether the current temperature data is less than the preset minimum alarm temperature limit to obtain a second judgment result.

[0108] For the embodiments of the present application, when the current temperature data is greater than or equal to the preset minimum alarm temperature limit, the electrical contact corresponding to the current temperature data is more likely to reach the maximum alarm temperature limit. The preset minimum alarm temperature limit is the temperature that needs to be monitored closely. When the current temperature data is less than the maximum alarm temperature limit, that is, when the current temperature data does not belong to abnormal temperature data, it is determined whether the current temperature data is less than the preset minimum alarm temperature limit to determine whether the current temperature data is a temperature that needs to be monitored closely, that is, whether the electrical contact corresponding to the current temperature data needs to be monitored closely.

[0109] Step Sa2: If the second judgment result is no, determine the electrical contact to be monitored based on the current temperature data and the first corresponding relationship.

[0110] For the embodiments of the present application, if the current temperature data is greater than or equal to the preset minimum alarm temperature limit, the current temperature data is the temperature that needs to be monitored. The electrical contact to be monitored is determined based on the current temperature data and the first relationship between the current temperature data and the position name. The electrical contact to be monitored may become an abnormal electrical contact. The electrical contact to be monitored is determined so that the electrical contact is monitored with emphasis. After the electrical contact to be monitored is determined, an early warning message is sent. The early warning message includes: the position name of the electrical contact to be monitored. By focusing on the electrical contacts to be monitored, equipment failures caused by equipment heating are eliminated, thereby ensuring safe, reliable and continuous operation of electrical equipment. Electrical contacts that may have abnormalities (i.e., electrical contacts to be monitored) are inspected and repaired in advance, possible abnormalities of the electrical contacts are eliminated in advance, and the safety of electrical equipment is improved, further improving the economic benefits of the enterprise.

[0111] Another possible implementation manner of the embodiment of the present application, the method may also include: step Sb1 (not shown in the figure), step Sb2 (not shown in the figure), step Sb3 (not shown in the figure), and step Sb4 (not shown in the figure), wherein step Sb1 may be executed before step S1032, step Sb1 may also be executed after step S1032, and step Sb1 may also be executed simultaneously with step S1032.

[0112] Step Sb1, obtaining current basic data, historical abnormal temperature data and historical abnormal basic data corresponding to each electrical contact.

[0113] Among them, the current basic data includes: current material data, current ambient temperature data and current ambient humidity data, and the historical abnormal basic data includes: historical abnormal material data, historical abnormal ambient temperature data and historical abnormal ambient humidity data.

[0114] For the embodiment of the present application, there are many reasons that affect the abnormal temperature of the electrical contacts, such as the degree of material aging and rusting of the electrical contacts and the temperature and humidity changes of the surrounding environment corresponding to the electrical contacts. In order to determine the abnormal predicted electrical contacts, the current basic data, historical abnormal temperature data and historical abnormal basic data corresponding to each electrical contact are obtained. The current material data includes the degree of material aging of the electrical contacts, the current ambient temperature data is the current temperature data corresponding to the surrounding environment of the electrical contacts, the current ambient humidity data is the current humidity data corresponding to the surrounding environment of the electrical contacts, the historical abnormal ambient temperature data is the historical abnormal temperature data corresponding to the surrounding environment of the electrical contacts, the historical abnormal ambient humidity data is the historical abnormal humidity data corresponding to the surrounding environment of the electrical contacts, and the historical abnormal material data includes the degree of material aging of the electrical contacts when abnormalities occurred in the past. In the embodiment of the present application, the current basic data, historical abnormal temperature data and historical abnormal basic data corresponding to each electrical contact can be obtained from local storage or from other devices.

[0115] Step Sb2: establishing a second corresponding relationship between historical abnormal basic data and historical abnormal temperature data.

[0116] For the embodiment of the present application, in order to input the historical abnormal basic data and the historical abnormal temperature data into the original model for training, a second correspondence between the historical abnormal basic data and the historical abnormal temperature data is established. For example, when the historical abnormal temperature data is 85°, the historical abnormal basic data corresponding to the historical abnormal temperature data include: the historical abnormal material data is an abnormal material aging degree of 40%, the historical abnormal ambient temperature data is 40°, and the historical abnormal ambient humidity data is 40%.

[0117] Step Sb3: input the historical abnormal temperature data and the historical abnormal basic data into the original model for training to obtain a prediction model.

[0118] For the embodiment of the present application, the historical abnormal basic data is converted into the historical abnormal basic data features, the historical abnormal temperature data, the historical abnormal ambient temperature data and the historical abnormal ambient humidity data are respectively vectorized into the historical abnormal temperature data features, the historical abnormal ambient temperature data features and the historical abnormal ambient humidity features, and the historical abnormal basic data features are converted into the feature matrix, and the feature matrix is ​​input into the original model for training, wherein, based on The abnormal feature matrix is ​​obtained, where m is used to characterize the characteristics of historical abnormal temperature data, and n is used to characterize the characteristics of historical abnormal basic data corresponding to the historical abnormal temperature data.

[0119] For the embodiments of the present application, the original model may include: a bidirectional long short-term memory network (Long Short-Term Memory, LSTM) model. Since multiple historical abnormal basic data feature combinations are trained together, a historical abnormal basic data feature joint learning layer is added. Based on historical temperature data and historical abnormal basic data, the original model is trained to obtain a prediction model, so that the obtained prediction model is more accurate.

[0120] Step Sb4: Based on the current basic data and the current temperature data, determine the abnormal predicted electrical contacts through the prediction model.

[0121] For the embodiment of the present application, the current basic data vector is quantized into the current basic data features and the current temperature data vector is quantized into the current temperature data features. The current temperature data features and the current basic data features corresponding to each electrical contact are input into the prediction model, and the predicted temperature data of each electrical contact is determined. The predicted temperature data corresponding to each electrical contact is determined by the prediction model, thereby improving the efficiency of temperature monitoring of the electrical contacts.

[0122] Another possible implementation method of the embodiment of the present application is to obtain the current basic data, historical abnormal temperature data and historical abnormal basic data corresponding to each electrical contact, and then also includes: step Sc1 (not shown in the figure), step Sc2 (not shown in the figure), step Sc3 (not shown in the figure) and step Sc4 (not shown in the figure), wherein step Sc1, obtains the cause of the historical abnormality.

[0123] For the embodiments of the present application, historical abnormal causes can be obtained from local storage, the causes of electrical contact abnormalities can be obtained from other devices, and historical abnormal causes input by users can also be obtained. Historical abnormal causes include: aging of electrical contact materials and loose electrical contacts. Historical abnormal temperature data is obtained from historical temperature data.

[0124] Step Sc2: Based on the second corresponding relationship, a third corresponding relationship is established between the historical abnormal cause and at least one of the historical abnormal basic data and the historical abnormal temperature data.

[0125] For the embodiment of the present application, the historical abnormal temperature data is related to the historical abnormal basic data, and the historical abnormal basic data and the historical abnormal temperature data are related to the historical abnormal causes. In the above embodiment, a second correspondence between the historical abnormal basic data and the historical abnormal temperature data has been established, and a third correspondence between the historical abnormal causes and at least one of the historical abnormal basis and the historical abnormal temperature data is established through the second correspondence.

[0126] Step Sc3: Based on the historical abnormal basic data and the historical abnormal temperature data, the current temperature data and the current basic data corresponding to each abnormal electrical contact are matched.

[0127] For the embodiment of the present application, by matching the current temperature data with the current basic data, matching historical abnormal basic data and matching historical abnormal temperature data are determined from the historical abnormal basic data and the historical abnormal temperature data.

[0128] Step Sc4: Determine the current abnormality cause from the historical abnormality causes based on the matching result and the third corresponding relationship.

[0129] For the embodiment of the present application, based on the third correspondence between matching historical abnormal basic data and matching historical abnormal temperature data and historical abnormal causes, the current abnormal cause is determined from the historical abnormal causes, which facilitates the staff to determine the repair of the abnormal electrical contacts based on the current abnormal cause, thereby improving the monitoring efficiency of abnormal electrical contacts.

[0130] Another possible implementation method of the embodiment of the present application is to analyze the current temperature data and determine the abnormal electrical contacts based on the analysis results and the first corresponding relationship, and then also include: step Sd1 (not shown in the figure), step Sd2 (not shown in the figure) and step Sd3 (not shown in the figure), wherein step Sd1 can be executed before step Sc1, step Sd1 can also be executed after step Sc1, and step Sd1 can also be executed simultaneously with step Sc1.

[0131] Step Sd1, obtaining the connection relationship between each electrical contact.

[0132] For the embodiment of the present application, after the abnormal electrical contact is determined, the normally working electrical contacts related to the abnormal electrical contact are more likely to become abnormal. In order to further improve the safety of the electrical contacts, the connection relationship between the various electrical contacts is obtained.

[0133] Step Sd2: determining the associated electrical contacts based on the preset weight corresponding to the current basic data, the current temperature data, the first corresponding relationship and the connection relationship.

[0134] For the embodiment of the present application, the matching connection point is determined based on the abnormal connection point and the connection relationship, and based on the characteristic parameters corresponding to each matching connection point and the preset weights corresponding to the characteristic parameters, the temperature data and the basic data are determined as characteristic parameters to determine the associated electrical connection point, and the basic data also includes: the current current data corresponding to each electrical contact, based on P i =f0*a i +(1-f0)*b i ,P=maxP i, determine the maximum total value, and determine the electrical contact corresponding to the maximum value as the associated electrical contact, where P i is the total value corresponding to each matching connection point, a i is the current temperature data corresponding to each matching connection point, b i is the current current data corresponding to each matching connection point, f0 is the preset weight corresponding to the current temperature data, P is used to characterize the maximum total value, the preset weights corresponding to the same characteristic parameters are the same, and the associated electrical contacts are determined by the current temperature data corresponding to the maximum total value and the first corresponding relationship.

[0135] Step Sd3: Send the location name of the associated electrical contact.

[0136] With respect to the embodiment of the present application, after the associated electrical node is determined, the location name of the associated electrical contact is sent so that the staff can inspect and repair the associated electrical contact to prevent abnormalities from occurring in the associated electrical contact, thereby further improving the safety of the electrical equipment.

[0137] Furthermore, a possible implementation method of the embodiment of the present application is introduced through a specific scenario, that is, for the electrical contacts of electrical equipment in a certain area, such as Figure 2 As shown, the current temperature data corresponding to each electrical contact is collected in real time through a wireless temperature sensor, and the temperature sensor sends the current temperature data to a temperature measurement receiving host through wireless transmission. The temperature measurement receiving host receives the current temperature data collected by the temperature sensor, summarizes the current temperature data, matches the electrical contacts with the current temperature data, and stores the current temperature data. The temperature measurement receiving host transmits the current temperature data to a cloud server through an external serial port server, and sends the current temperature data to a terminal device through the cloud server. The terminal device displays the current temperature data and historical temperature data corresponding to each electrical contact. The terminal device can be a mobile terminal or a PC, so that the user can grasp the operating status of each electrical contact in a timely manner.

[0138] The above embodiment introduces a temperature monitoring method from the perspective of method flow, and the following embodiment introduces a temperature monitoring device from the perspective of a virtual module or a virtual unit. Please refer to the following embodiment for details.

[0139] The present application embodiment provides a temperature monitoring device, such as Figure 3 As shown, the temperature monitoring device 30 may specifically include: a first acquisition module 31, a first establishment module 32 and a first determination module 33, wherein:

[0140] The first acquisition module 31 is used to acquire the current temperature data and position name corresponding to each electrical contact;

[0141] A first establishing module 32, used to establish a first corresponding relationship between the location name and the current temperature data;

[0142] The first determination module 33 is used to analyze the current temperature data and determine the abnormal electrical contact based on the analysis result and the first corresponding relationship. In a possible implementation of the embodiment of the present application, when the first determination module 33 analyzes the current temperature data and determines the abnormal electrical contact based on the analysis result and the first corresponding relationship, it is specifically used to:

[0143] Analyze the current temperature data and the corresponding preset maximum alarm temperature limit, and determine the abnormal electrical contacts based on the analysis results and the first corresponding relationship; or, obtain the historical temperature data corresponding to each electrical contact, compare the historical temperature data with the current temperature data, and determine the abnormal electrical contacts based on the first corresponding relationship.

[0144] In another possible implementation of the embodiment of the present application, when the first determination module 33 analyzes the current temperature data and the corresponding preset maximum alarm temperature limit and determines the abnormal electrical contact based on the analysis result and the first corresponding relationship, it is specifically used to:

[0145] Determine whether the current temperature data is less than the preset maximum alarm temperature limit, and obtain a first determination result;

[0146] If the first judgment result is no, the abnormal electrical contact is determined based on the first corresponding relationship.

[0147] In another possible implementation of the embodiment of the present application, the device 30 further includes: a first judgment module, a second determination module, a second judgment module and a third determination module, wherein:

[0148] A first judgment module is used to judge whether the current temperature data is less than a preset minimum alarm temperature limit when the first judgment result is yes, and obtain a second judgment result;

[0149] The second determination module is used to determine the electrical contact to be monitored based on the current temperature data and the first corresponding relationship when the second judgment result is no.

[0150] In another possible implementation of the embodiment of the present application, the device 30 further includes: a second acquisition module, a second establishment module, a training module and a third determination module, wherein:

[0151] The second acquisition module is used to acquire the current basic data, historical abnormal temperature data and historical abnormal basic data corresponding to each electrical contact, the current basic data includes: current material data, current ambient temperature data and current ambient humidity data, and the historical abnormal basic data includes: historical abnormal material data, historical abnormal ambient temperature data and historical abnormal ambient humidity data;

[0152] A second establishing module is used to establish a second corresponding relationship between the historical abnormal basic data and the historical abnormal temperature data;

[0153] The training module is used to input the historical abnormal temperature data and the historical abnormal basic data into the original model for training to obtain the prediction model.

[0154] The third determination module is used to determine the abnormal prediction electrical contact through the prediction model based on the current basic data and the current temperature data.

[0155] In another possible implementation of the embodiment of the present application, the device 30 further includes: a third acquisition module, a third establishment module, a matching module and a fourth determination module, wherein:

[0156] The third acquisition module is used to obtain historical abnormal reasons;

[0157] A third establishing module, used to establish a third corresponding relationship between the historical abnormal cause and at least one of the historical abnormal basic data and the historical temperature data based on the second corresponding relationship;

[0158] A matching module, used for matching the current temperature data and the current basic data corresponding to each abnormal electrical contact respectively based on the historical abnormal basic data and the historical abnormal temperature data;

[0159] The fourth determination module is used to determine the current abnormal cause from the historical abnormal causes based on the matching result and the third corresponding relationship.

[0160] In another possible implementation manner of the embodiment of the present application, the device 30 further includes: a fourth acquisition module, a fifth determination module and a sending module, wherein:

[0161] A fourth acquisition module is used to acquire the connection relationship between each electrical contact;

[0162] A fifth determination module, configured to determine the associated electrical contacts based on the preset weight corresponding to the current basic data, the current temperature data, the first corresponding relationship, and the connection relationship;

[0163] The sending module is used to send the position name of the associated electrical contact.

[0164] The embodiment of the present application provides a temperature monitoring device. Compared with the related art, in the embodiment of the present application, by obtaining the current temperature data and the location name corresponding to each electrical contact, and establishing a first correspondence between the location name and the current temperature data, and analyzing the current temperature data, the abnormal electrical contacts are quickly determined based on the analysis results and the first correspondence between the location name and the current temperature, so that the abnormality of the electrical contacts can be discovered in time, thereby improving the safety of the electrical equipment.

[0165] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the temperature monitoring device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0166] The present application embodiment provides an electronic device, such as Figure 4 As shown, Figure 4 The electronic device 40 shown includes: a processor 401 and a memory 403. The processor 401 and the memory 403 are connected, such as through a bus 402. Optionally, the electronic device 40 may also include a transceiver 404. It should be noted that in actual applications, the transceiver 404 is not limited to one, and the structure of the electronic device 40 does not constitute a limitation on the embodiments of the present application.

[0167] Processor 401 may be a CPU (Central Processing Unit), a general purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 401 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0168] The bus 402 may include a path to transmit information between the above components. The bus 402 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 402 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0169] The memory 403 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0170] The memory 403 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 401. The processor 401 is used to execute the application code stored in the memory 403 to implement the contents shown in the above method embodiment.

[0171] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 4 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0172] The embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment. Compared with the related art, in the embodiment of the present application, by obtaining the current temperature data and the position name corresponding to each electrical contact, and establishing a first correspondence between the position name and the current temperature data, and analyzing the current temperature data, the abnormal electrical contact is quickly determined based on the analysis result and the first correspondence between the position name and the current temperature, so that the abnormality of the electrical contact can be discovered in time, thereby improving the safety of the electrical equipment.

[0173] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0174] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for temperature monitoring, characterized in that: include: Get the current temperature data and location name corresponding to each electrical contact; Establishing a first corresponding relationship between the location name and the current temperature data; Analyzing the current temperature data, and determining an abnormal electrical contact based on the analysis result and the first corresponding relationship; Obtaining current basic data, historical abnormal temperature data and historical abnormal basic data corresponding to each electrical contact, wherein the current basic data includes: current material data, current ambient temperature data and current ambient humidity data, and the historical abnormal basic data includes: historical abnormal material data, historical abnormal ambient temperature data and historical abnormal ambient humidity data; Establishing a second corresponding relationship between the historical abnormal basic data and the historical abnormal temperature data; Inputting the historical abnormal temperature data and the historical abnormal basic data into the original model for training to obtain a prediction model; Based on the current basic data and the current temperature data, determining an abnormal prediction electrical contact through the prediction model; Get historical abnormal reasons; Based on the second corresponding relationship, establishing a third corresponding relationship between the historical abnormal cause and at least one of the historical abnormal basic data and the historical abnormal temperature data; Based on the historical abnormal basic data and the historical abnormal temperature data, matching the current temperature data corresponding to the abnormal electrical contact with the current basic data; Based on the matching result and the third corresponding relationship, a current abnormality cause is determined from the historical abnormality causes.

2. The method according to claim 1, characterized in that The analyzing the current temperature data and determining the abnormal electrical contact based on the analysis result and the first corresponding relationship includes any one of the following: Analyzing the current temperature data and the corresponding preset maximum alarm temperature limit, and determining the abnormal electrical contact based on the analysis result and the first corresponding relationship; The historical temperature data corresponding to each electrical contact is obtained, and the historical temperature data is compared with the current temperature data, and the abnormal electrical contact is determined based on the first corresponding relationship.

3. The method according to claim 2, characterized in that The analyzing the current temperature data and the corresponding preset maximum alarm temperature limit, and determining the abnormal electrical contact based on the analysis result and the first corresponding relationship, includes: Determine whether the current temperature data is less than the preset maximum alarm temperature limit to obtain a first determination result; If the first judgment result is no, the abnormal electrical contact is determined based on the first corresponding relationship.

4. The method according to claim 3, characterized in that: The method further comprises: If the first judgment result is yes, then judging whether the current temperature data is less than a preset minimum alarm temperature limit, and obtaining a second judgment result; If the second judgment result is no, the electrical contact to be monitored is determined based on the current temperature data and the first corresponding relationship.

5. The method according to claim 1, characterized in that The step of analyzing the current temperature data and determining the abnormal electrical contact based on the analysis result and the first corresponding relationship further includes: Obtain the connection relationship between various electrical contacts; Determining an associated electrical contact based on a preset weight corresponding to the current basic data, the current temperature data, the first corresponding relationship, and the connection relationship; Sends the location name of the associated electrical point.

6. A temperature monitoring device, characterized in that: include: The first acquisition module is used to obtain the current temperature data and position name corresponding to each electrical contact; A first establishing module, used for establishing a first corresponding relationship between the location name and the current temperature data; a first determination module, configured to analyze the current temperature data and determine an abnormal electrical contact based on the analysis result and the first corresponding relationship; The second acquisition module is used to acquire the current basic data, historical abnormal temperature data and historical abnormal basic data corresponding to each electrical contact, the current basic data includes: current material data, current ambient temperature data and current ambient humidity data, and the historical abnormal basic data includes: historical abnormal material data, historical abnormal ambient temperature data and historical abnormal ambient humidity data; A second establishing module is used to establish a second corresponding relationship between the historical abnormal basic data and the historical abnormal temperature data; A training module, used for inputting historical abnormal temperature data and historical abnormal basic data into the original model for training to obtain a prediction model; A third determination module is used to determine an abnormal prediction electrical contact through a prediction model based on current basic data and current temperature data; The third acquisition module is used to obtain historical abnormal reasons; A third establishing module, used to establish a third corresponding relationship between the historical abnormal cause and at least one of the historical abnormal basic data and the historical temperature data based on the second corresponding relationship; A matching module, used for matching the current temperature data and the current basic data corresponding to each abnormal electrical contact respectively based on the historical abnormal basic data and the historical abnormal temperature data; The fourth determination module is used to determine the current abnormal cause from the historical abnormal causes based on the matching result and the third corresponding relationship.

7. An electronic device, characterized in that: include: One or more processors; Memory; One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, and the one or more applications are configured to: execute a temperature monitoring method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, a temperature monitoring method as described in any one of claims 1 to 5 is implemented.

Images