Anomaly Detection Method, Device, Storage Medium and Electronic Device

Abstract

The technical solution of the embodiment of the present invention discloses an abnormal detection method, device, storage medium and electronic device. The method includes: obtaining the original temperature and humidity data on the surface of the box to be detected; detecting the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data; detecting the abnormal temperature and humidity points in the box according to the target temperature and humidity data inside the box to be detected. The technical solution of the embodiment of the present invention improves the efficiency, accuracy and safety of abnormal detection.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment, and particularly to an abnormal detection method, device, storage medium and electronic device. Background Art

[0002] In coastal areas, there is a lot of rain and high humidity. Outdoor mechanism boxes in open substations are prone to equipment moisture due to water seepage and condensation because they are exposed outdoors for a long time.

[0003] For equipment moisture, the usual inspection method is to open the box for inspection, which requires opening the five-prevention lock and the box door lock of the box body.

[0004] However, there are a large number of boxes and locks in the substation. Performing one inspection requires a large amount of manpower, and it is easy to miss inspections and have errors. There is also a risk of incorrect operation of the equipment due to the vibration of the box door when opening the box door. There are problems such as low execution efficiency, poor accuracy and low safety. Summary of the Invention

[0005] The present invention provides an abnormal detection method, device, storage medium and electronic device, which improve the efficiency, accuracy and safety of abnormal detection.

[0006] According to one aspect of the present invention, an abnormal detection method is provided, including:

[0007] Obtaining the original temperature and humidity data on the surface of the box to be detected;

[0008] Detecting the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data;

[0009] Detecting abnormal temperature and humidity points in the box according to the target temperature and humidity data inside the box to be detected.

[0010] According to another aspect of the present invention, an abnormal detection device is characterized in that the device includes:

[0011] An original data acquisition module, configured to obtain the original temperature and humidity data on the surface of the box to be detected;

[0012] A target data detection module, configured to detect the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data;

[0013] An abnormal point detection module, configured to detect abnormal temperature and humidity points in the box according to the target temperature and humidity data inside the box to be detected.

[0014] According to another aspect of the present invention, an electronic device is provided, and the electronic device includes:

[0015] At least one processor; and

[0016] A memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program executable by the at least one processor, and when the computer program is executed by the at least one processor, the at least one processor is enabled to execute the anomaly detection method according to any embodiment of the present invention.

[0018] According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the anomaly detection method according to any embodiment of the present invention when executed.

[0019] The technical solution of the embodiment of the present invention obtains the original temperature and humidity data on the surface of the box to be detected; detects the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data; and detects the abnormal temperature and humidity points in the box according to the target temperature and humidity data inside the box to be detected, thereby solving the problems of low execution efficiency, poor accuracy and low security in box anomaly detection; by detecting the original temperature and humidity data on the surface of the box to be detected, the need for opening the box for detection is avoided, improving the security of anomaly detection; and according to the target temperature and humidity data, the abnormal temperature and humidity points in the box are intuitively and accurately detected, improving the efficiency and accuracy of anomaly detection.

[0020] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0022] Figure 1 is a flowchart of an anomaly detection method provided according to Embodiment 1 of the present invention;

[0023] Figure 2a is the three-dimensional cloud map slice data of the X-Z plane provided according to Embodiment 1 of the present invention;

[0024] Figure 2b is the three-dimensional cloud map slice data of the Y-Z plane provided according to Embodiment 1 of the present invention;

[0025] Figure 2c is the three-dimensional cloud map slice data of the X-Y plane provided according to Embodiment 1 of the present invention;

[0026] Figure 3 is a flowchart of an anomaly detection method provided in Embodiment 2 of the present invention;

[0027] Figure 4 is a data processing flowchart of a temperature and humidity acquisition device and an anomaly detection device provided in Embodiment 2 of the present invention;

[0028] Figure 5 is a schematic structural diagram of a collection card provided in Embodiment 2 of the present invention;

[0029] Figure 6 is an overall layout diagram of a target surface and a target area provided in Embodiment 2 of the present invention;

[0030] Figure 7a is a layout diagram of the target area of target surface A provided in Embodiment 2 of the present invention;

[0031] Figure 7b is a layout diagram of the target area of target surface B provided in Embodiment 2 of the present invention;

[0032] Figure 7c is a layout diagram of the target area of target surface C provided in Embodiment 2 of the present invention;

[0033] Figure 8 is a schematic structural diagram of an anomaly detection device provided in Embodiment 3 of the present invention;

[0034] Figure 9 is a schematic structural diagram of an electronic device for implementing the anomaly detection method of the embodiments of the present invention. Detailed implementation manners

[0035] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0036] It should be noted that the terms "first", "second", etc. in the description, claims and above-mentioned drawings of the present invention are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0037] Embodiment 1

[0038] Figure 1 FIG. 1 is a flowchart of an anomaly detection method provided for Embodiment 1 of the present invention. This embodiment is applicable to the situation of detecting anomalies inside a box. This method can be executed by an anomaly detection method device, which can be implemented in the form of hardware and / or software, and the anomaly detection method device can be configured in an electronic device. As Figure 1 shown, the method includes:

[0039] S110. Obtain the original temperature and humidity data on the surface of the box to be detected.

[0040] Among them, the box to be detected can be a box to be subjected to surface temperature and humidity detection. Optionally, the shape of the box to be detected can be regular shapes such as a cuboid and a cylinder, or an irregular shape, which is not limited here.

[0041] The original temperature and humidity data can be the temperature and humidity data detected on the surface of the box to be detected. Optionally, the original temperature and humidity data can be the temperature and humidity data of a specified area or the entire area on the surface of the box to be detected.

[0042] Specifically, temperature and humidity acquisition devices can be configured in a specified area or the entire area on the surface of the box to be detected, and the original temperature and humidity data of the specified area or the entire area on the surface of the box to be detected can be collected by the temperature and humidity acquisition devices and transmitted to the anomaly detection device, and the anomaly detection device can obtain the original temperature and humidity data of the box to be detected.

[0043] S120. Detect the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data.

[0044] Among them, the target temperature and humidity data can be the temperature and humidity data inside the box to be detected. The target temperature and humidity data can be used as the basis for anomaly detection.

[0045] Specifically, the original temperature and humidity data on the surface of the detection box can be recorded separately according to the target time and the data of the target surface; the original temperature and humidity data of the same target surface can be fitted to obtain the target surface temperature and humidity function of each target surface; then the temperature and humidity distribution inside the box is approximated as a linear attenuation to obtain the target temperature and humidity function inside the box to be detected; according to the target temperature and humidity function inside the box, and based on the position coordinate of any point at any moment, the corresponding target temperature and humidity data can be obtained. Among them, the target time can be the time when the temperature and humidity data of the current round are collected on the same target surface. The target surface can be the surface of the box to be detected where temperature and humidity acquisition devices are configured. The target surface temperature and humidity function can be a relationship function between any position coordinate and the corresponding temperature and humidity data at any moment on the surface of the box to be detected. The target temperature and humidity function inside the box can be a relationship function between any position coordinate and the corresponding temperature and humidity data at any moment inside the detection box.

[0046] S130. Detect the abnormal temperature and humidity points inside the box to be detected according to the target temperature and humidity data inside the box to be detected.

[0047] Among them, the abnormal temperature and humidity points can be specific position coordinate points where the target temperature and humidity data inside the box are abnormal. By detecting and analyzing the abnormal temperature and humidity points inside the box, it is convenient to perform subsequent processing on the abnormal temperature and humidity points.

[0048] Specifically, the target temperature and humidity data can be screened to screen out the abnormal temperature and humidity points of equipment overheating where the highest temperature inside the box to be detected exceeds the equipment operating temperature threshold; or screen out the abnormal temperature and humidity points of equipment condensation where the temperature difference inside the box to be detected is higher than the temperature difference threshold of the current environment and higher than the humidity threshold of the current environment.

[0049] In an optional embodiment of the present invention, detecting the abnormal temperature and humidity points inside the box to be detected according to the target temperature and humidity data inside the box to be detected includes the following sub-steps:

[0050] S1301. Generate the three-dimensional cloud map data inside the box according to the target temperature and humidity data inside the box to be detected.

[0051] Among them, the three-dimensional cloud map data inside the box can be used to display the target temperature and humidity data corresponding to any position in the three-dimensional space. The three-dimensional cloud map data inside the box can display the temperature of different positions in different colors.

[0052] Specifically, according to the target temperature and humidity data of the box to be detected, coloring processing can be performed on any position at any moment. The corresponding color depth value can be assigned to the corresponding position coordinate point according to the target temperature and humidity data. The same target temperature and humidity data are colored with the same color depth value, and different target temperature and humidity data are colored with different color depth values to generate the three-dimensional cloud map data inside the box corresponding to each moment.

[0053] S1302. Determine whether there is an abnormal temperature and humidity event inside the box according to the three-dimensional cloud map data inside the box.

[0054] Among them, the abnormal temperature and humidity event can be an event where the target temperature and humidity data is abnormal.

[0055] Optionally, the abnormal temperature and humidity event can include: the highest temperature inside the box to be detected exceeds the equipment operating temperature threshold; or the temperature difference inside the box to be detected is higher than the temperature difference threshold of the current environment and higher than the humidity threshold of the current environment.

[0056] The equipment operating temperature threshold can be the highest temperature value for the normal operation of the equipment. Monitoring whether the temperature inside the box to be detected is higher than the equipment operating temperature threshold can determine whether there is overheating of the equipment inside the box to be detected.

[0057] The temperature difference threshold can be the upper limit value of the difference between the highest temperature and the lowest temperature of the current environment. The humidity threshold can be the upper limit value of the humidity of the current environment. If the temperature difference inside the box to be detected is higher than the temperature difference threshold of the current environment and higher than the humidity threshold of the current environment, there may be condensation inside the box to be detected.

[0058] Specifically, the target temperature and humidity data inside the box can be monitored according to the three-dimensional cloud map data inside the box to determine whether there are abnormal temperature and humidity events such as equipment overheating or equipment condensation inside the box to be detected.

[0059] S1303. If there is an abnormal temperature and humidity event, detect and determine the abnormal temperature and humidity points according to the three-dimensional cloud map slice data.

[0060] Among them, the three-dimensional cloud map slice data can be the three-dimensional cloud map slice data obtained after slicing the position where there is an abnormal temperature and humidity event. Optionally, the three-dimensional cloud map slice data can include: the three-dimensional cloud map slice data of the X-Z plane, the three-dimensional cloud map slice data of the Y-Z plane, and the three-dimensional cloud map slice data of the X-Y plane.

[0061] Specifically, if there is an abnormal temperature and humidity event, slice the position where there is an abnormal temperature and humidity event according to the three-dimensional cloud map slice data to obtain the three-dimensional cloud map slice data of each position where there is an abnormal temperature and humidity event. According to the obtained three-dimensional cloud map slice data, detect and analyze the abnormal temperature and humidity event to determine the abnormal temperature and humidity points.

[0062] Exemplarily, if the target temperature and humidity data are determined according to the temperature and humidity function inside the target box, then, according to the temperature and humidity function T(x, y, z, t) inside the target box, color processing is performed on each position coordinate point inside the box, and the color depth value of each position coordinate point is set to the temperature and humidity value T in the corresponding target temperature and humidity data. The point density of the position coordinate points can be selected according to the size of the box body, and the point density can be set and adjusted by technicians according to the three-dimensional cloud map data inside the box. When all the position coordinate points are colored, the three-dimensional cloud map data inside the box can be obtained. By observing the maximum and minimum values of the target temperature and humidity data in the three-dimensional cloud map data inside the box, it can be judged whether there are abnormal temperature and humidity events such as equipment overheating and equipment dampness inside the box. If so, slicing processing is performed on the positions with abnormal temperature and humidity events according to the three-dimensional cloud map data inside the box to obtain three-dimensional cloud map slice data. As Figure 2a 、 Figure 2b and Figure 2c shown, they are the three-dimensional cloud map slice data of the X-Z plane, Y-Z plane, and X-Y plane respectively. According to the three-dimensional cloud map slice data, analysis and diagnosis can be carried out, and abnormal temperature and humidity points can be quickly located.

[0063] This solution determines abnormal temperature and humidity events by generating three-dimensional cloud map data inside the box, and can quickly detect abnormal temperature and humidity events; analyzes and diagnoses the positions of abnormal temperature and humidity events through three-dimensional cloud map slice data, avoiding the problem that the traditional single-point measurement method can only measure the average temperature inside the box body, roughly judge whether there is a heating phenomenon, and cannot diagnose the heating phenomenon of small components; can accurately identify the temperature and humidity values of each position coordinate point inside the box to be detected, and even subtle abnormal temperature and humidity points can be easily identified, greatly reducing the time for abnormal detection and improving the efficiency and accuracy of abnormal detection.

[0064] In an alternative embodiment of the present invention, the box to be detected includes a substation mechanism box.

[0065] Exemplarily, if the box to be detected is a substation mechanism box, this type of box is in a closed and locked state during normal operation. The temperature and humidity acquisition device can be installed on the inner wall of the substation mechanism box. When abnormal detection such as moisture-proof, flood-control, or high-temperature special inspection of the box body is required, the NFC (Near Field Communication) data processing terminal (i.e., the abnormal detection device) can be held and approached the NFC transmission cards (i.e., the temperature and humidity acquisition devices) on three sides from outside the box, and the original temperature and humidity data can be obtained in a contactless manner. The NFC data processing terminal will generate three-dimensional cloud map data inside the box to display the temperature and humidity distribution inside the box for the substation operation personnel to quickly check and diagnose.

[0066] In this solution, the box to be detected is specifically exemplified as a substation mechanism box. In view of the large number of boxes and locks in the substation, non-contact acquisition of the original temperature and humidity data is used, and the data is processed to generate three-dimensional cloud map data inside the box, which is convenient for monitoring and determining abnormal temperature and humidity points inside the box, improving the problems of low efficiency, poor accuracy and low safety in abnormal detection in the substation, and enhancing the efficiency, accuracy and safety of abnormal detection of substation mechanism boxes in the substation.

[0067] The technical solution of the embodiment of the present invention includes: acquiring the original temperature and humidity data on the surface of the box to be detected; detecting the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data; detecting the abnormal temperature and humidity points inside the box according to the target temperature and humidity data inside the box to be detected; solving the problems of low execution efficiency, poor accuracy and low safety existing in the abnormal detection of the box; by detecting the original temperature and humidity data on the surface of the box to be detected, the need for opening the box for detection is avoided, improving the safety of abnormal detection; according to the target temperature and humidity data, the abnormal temperature and humidity points inside the box are detected intuitively and accurately, improving the efficiency and accuracy of abnormal detection.

[0068] Embodiment 2

[0069] Figure 3 The figure is a flowchart of an abnormal detection method provided by the second embodiment of the present invention. On the basis of the above embodiment, the step of detecting the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data is further refined. As Figure 3 shown, the method includes:

[0070] S210. Acquire the original temperature and humidity data on the surface of the box to be detected.

[0071] S220. At the target moment, collect the original temperature and humidity data on at least one target surface of the box to be detected, and the original temperature and humidity data can be collected by the temperature and humidity acquisition device configured in at least one target area including the target surface.

[0072] Among them, the target area can be a specific area configured with a temperature and humidity acquisition device.

[0073] The temperature and humidity acquisition device can be a device for acquiring temperature and humidity.

[0074] Specifically, at the moment when the temperature and humidity acquisition device completes the acquisition of the temperature and humidity data in the current round on the same target surface, the abnormal detection device can collect the original temperature and humidity data on at least one target surface of the box to be detected.

[0075] In an optional embodiment of the present invention, the temperature and humidity acquisition device includes: a transmission card and an acquisition card; wherein, the transmission card is used for transmitting the original temperature and humidity data; the acquisition card is used for acquiring and storing the original temperature and humidity data.

[0076] Exemplarily, as Figure 4 shown, a data processing flowchart of a temperature and humidity acquisition device and an anomaly detection device is provided.

[0077] The NFC branch card (i.e., the acquisition card) collects the original temperature and humidity data at the layout points in the target area in real time through the temperature and humidity sensors configured inside the NFC branch card, and stores it in the microprocessor, waiting for the NFC main card (i.e., the transmission card) to access.

[0078] The NFC data processing terminal (i.e., the anomaly detection device) communicates with the NFC branch card in the active mode. The active mode is as follows: when the NFC data processing terminal does not receive a reading instruction, the NFC data processing terminal will remain in a silent state and continuously judge whether a reading instruction is received. When the NFC data processing terminal receives a reading instruction, the NFC data processing terminal will establish communication with the NFC main card and read the original temperature and humidity data in the NFC main card.

[0079] As Figure 5 shown, a structural schematic diagram of an acquisition card is provided.

[0080] The housing material of the acquisition card can be polytetrafluoroethylene, which has the properties of high and low temperature resistance, moisture resistance and corrosion resistance. Two small permanent magnets are embedded in the lower shell for easy installation inside the box. The main board ① consists of modules such as a button battery ④, a microprocessor ⑤, a temperature and humidity sensor ⑥, an NFC chip ③ and an NFC antenna ②. The button battery ④ provides power for all modules on the main board ①; the temperature and humidity sensor ⑥ collects the temperature and humidity data on the surface of the box to be detected at fixed time intervals.

[0081] In this solution, by specifically exemplifying the temperature and humidity acquisition device as a transmission card and an acquisition card, using the acquisition card to collect the original temperature and humidity data on the surface of the box to be detected in real time, and using the communication between the transmission card and the anomaly detection device to transmit the original temperature and humidity data to the anomaly detection device, the detection of the temperature and humidity data on the surface of the box to be detected is realized, providing a basis for anomaly detection inside the box.

[0082] In an alternative embodiment of the present invention, the transmission card obtains the original temperature and humidity data of the acquisition card at fixed time intervals.

[0083] Among them, the fixed time interval can be the time interval between two adjacent acquisitions of temperature and humidity data by the acquisition card configured on the target surface. The value of the fixed time interval can be set and adjusted by technicians according to environmental data and the battery life.

[0084] Specifically, the transmission card does not need to receive an instruction to read the acquisition card, and obtains the original temperature and humidity data collected by the acquisition card every fixed time interval.

[0085] Exemplarily, the transmission card is set as the NFC main card, and the acquisition card is set as the NFC branch card. As Figure 4 shown, the NFC main card communicates with the NFC branch card in passive mode, that is, it accesses the NFC branch card at fixed time intervals, and obtains and stores the original temperature and humidity data stored in the branch card.

[0086] Optionally, since NFC cards can only communicate one-to-one, the NFC main card communicates with each NFC branch card at fixed time intervals in sequence. That is, it first accesses NFC branch card 1, waits for a fixed time interval after the access ends, and then accesses NFC branch card 2, and so on, until all branch cards are accessed and then it accesses branch card 1 again, and this cycle continues.

[0087] In this solution, by setting the transmission card to obtain the original temperature and humidity data of the acquisition card at fixed time intervals, the interference between acquisition cards is avoided, and the accuracy of the acquisition of the original temperature and humidity data is ensured.

[0088] In an optional embodiment of the present invention, any two target surfaces intersect; the target area is distributed along at least one boundary line of the target surface where it is located, and the boundary lines of the same target surface are selected from the symmetry lines of the target surface.

[0089] Specifically, any two intersecting surfaces are selected as the target surfaces; the target area is distributed along at least one boundary line of the target surface, and the boundary line of the same target surface is the symmetry line of the target surface.

[0090] Exemplarily, Figure 6 is an overall layout diagram of the target surface and the target area. Set the box to be detected as the cube-shaped substation mechanism box 1. The A surface (front surface), B surface (right side surface) and C surface (top surface) of the substation mechanism box body 1 are respectively the target surfaces of the substation mechanism box, and the A surface, B surface and C surface intersect pairwise. Spatially, each group of temperature and humidity acquisition devices on the A surface, B surface and C surface are distributed in an L-shaped axisymmetric manner, connected end to end, reducing the number of surfaces where sensors need to be arranged, and also ensuring the representativeness and typicality of sampling. A group of temperature and humidity acquisition devices 2 are configured in the target areas on the three target surfaces. The temperature and humidity acquisition devices 2 can be respectively built into the A surface, B surface and C surface of the substation mechanism box, and the target areas where they are located are distributed along the boundary lines of the target surface, and the boundary lines are the symmetry lines of the target surface. The NFC data processing terminal 3 reads the original temperature and humidity data collected by the temperature and humidity acquisition devices 2 from outside the substation mechanism box, then obtains the target temperature and humidity data through data fitting, and finally converts the target temperature and humidity data into three-dimensional cloud map data inside the box.

[0091] Figure 7a is a layout diagram of the target area of the target surface A; Figure 7b is a layout diagram of the target area of the target surface B;Figure 7c It is a layout diagram of the target area of a target surface C.

[0092] The box to be detected contains three groups of temperature and humidity acquisition devices: Group A, Group B, and Group C. Each group of temperature and humidity acquisition devices is in an L shape. Each group of temperature and humidity acquisition devices consists of 1 NFC main card (i.e., transmission card) and two groups of NFC branch cards (i.e., acquisition cards). For example, the temperature and humidity device in Group A consists of 1 NFC main card 2-1-1, a group of NFC branch cards 2-1-2, and a group of NFC branch cards 2-1-3; the temperature and humidity device in Group B consists of 1 NFC main card 2-2-1, a group of NFC branch cards 2-2-2, and a group of NFC branch cards 2-2-3; the temperature and humidity device in Group C consists of 1 NFC main card 2-3-1, a group of NFC branch cards 2-3-2, and a group of NFC branch cards 2-3-3. Group A contains two groups of NFC branch cards on the X-axis and Z-axis, Group B contains two groups of NFC branch cards on the Y-axis and Z-axis, and Group C contains two groups of NFC branch cards on the X-axis and Y-axis. Each group of NFC branch cards consists of several identical NFC branch cards. For example, Group A contains a group of NFC branch cards Ax_1, Ax_2, ……, Ax_9 on the X-axis and a group of NFC branch cards Az_1, Az_2, ……, Az_9 on the Z-axis; Group B contains a group of NFC branch cards Bz_1, Bz_2, ……, Bz_9 on the Z-axis and a group of NFC branch cards By_1, By_2, ……, By_9 on the Y-axis; Group C contains a group of NFC branch cards Cx_1, Cx_2, ……, Cx_9 on the X-axis and a group of NFC branch cards Cy_1, Cy_2, ……, Cy_9 on the Y-axis. The NFC branch cards are equipped with temperature and humidity sensors, which can collect and store the real-time original temperature and humidity data of the corresponding position coordinate points of the installed target area. In order to prevent the NFC main card brackets from interfering with each other when the NFC data processing terminal reads the NFC main cards, the NFC main cards are kept at a distance. As Figure 6 shown, the NFC main card configuration card vertices of the target areas of each target surface maintain the distance between the NFC main cards.

[0093] In this solution, by setting any two target surfaces to intersect and the target areas to be distributed along the symmetric boundary lines of the target surfaces where they are located, compared with evenly laying out the greenhouse acquisition devices on all surfaces of the box to be detected at equal intervals, it greatly reduces the layout quantity of the temperature and humidity acquisition devices while retaining the accuracy of anomaly detection, saving the component cost and daily maintenance cost; facilitating the subsequent processing of the original temperature and humidity data; ensuring that the temperature and humidity acquisition devices will not be interfered by other devices in the box, and guaranteeing the accuracy of the original temperature and humidity data acquisition.

[0094] S230. Process the original temperature and humidity data of each target surface to obtain the target surface temperature and humidity function of each target surface.

[0095] Specifically, the original temperature and humidity data of the target surface at the target moment can be processed through a fitting function to obtain the target surface temperature and humidity function of any target surface. Each target surface is processed in turn until the target surface temperature and humidity functions corresponding to all target surfaces at all target moments are obtained.

[0096] Exemplarily, as Figure 7a 、 Figure 7b and Figure 7c shown, set the target moment as t0, and the target surfaces as surface A, surface B, and surface C. The original temperature and humidity data of the acquisition cards on the X-axis of the A group of temperature and humidity acquisition devices are respectively x1 = Ax_1(t0), x2 = Ax_2(t0),..., x9 = Ax_9(t0), and the original temperature and humidity data of the acquisition cards on the Z-axis are z1 = Az_1(t0), z2 = Az_2(t0),..., z9 = Az_9(t0). Through the Gaussian fitting function the target surface temperature and humidity function of surface A is obtained as Ta(x,z,t0) = Gauss fit[(x1,z1),(x2,z2),...,(x9,z9)]. Similarly, the temperature and humidity Tc(x,y,t0) of surface B and surface C can be obtained.

[0097] S240. Process the target surface temperature and humidity functions corresponding to each target surface to determine the temperature and humidity function inside the target box; where the temperature and humidity function inside the target box is a relationship function between the position points inside the box and the corresponding temperature and humidity.

[0098] Specifically, the temperature and humidity data inside the box to be detected can be approximated as linear attenuation, and the temperature and humidity data of any position coordinate point inside the box to be detected corresponding to the target moment can be determined. After substituting the temperature and humidity data of different target moments, the temperature and humidity function inside the target box can be obtained.

[0099] Exemplarily, set the target moment as t0. Approximate the temperature and humidity distribution inside the box to be detected as linear attenuation. The temperature and humidity at any position coordinate point inside the box to be detected at t0 is After substituting the temperature and humidity data of different target moments, the temperature and humidity function T(x,y,z,t) of any point inside the box at any moment can be obtained.

[0100] S250. Detect the target temperature and humidity data inside the box to be detected according to the target temperature and humidity function.

[0101] Specifically, according to the target temperature and humidity function, the target temperature and humidity data corresponding to any coordinate position point inside the box to be detected at the current moment can be calculated.

[0102] S260. Detect the abnormal temperature and humidity points inside the box to be detected according to the target temperature and humidity data inside the box to be detected.

[0103] The technical solution of the embodiment of the present invention obtains the original temperature and humidity data on the surface of the box to be detected; at the target moment, collects the original temperature and humidity data on at least one target surface of the box to be detected; processes the original temperature and humidity data of each target surface to obtain the target surface temperature and humidity function of each target surface; processes the target surface temperature and humidity functions corresponding to each target surface to determine the target temperature and humidity function inside the box; detects the target temperature and humidity data inside the box to be detected according to the target temperature and humidity function; detects the abnormal temperature and humidity points inside the box according to the target temperature and humidity data inside the box to be detected; through the original temperature and humidity data of the target area of the target surface of the box to be detected, calculates the target surface temperature and humidity function of the target surface of the box to be detected, and through the target surface temperature and humidity function of the box to be detected, calculates the target temperature and humidity function inside the box to be detected, realizing the process of determining the target temperature and humidity data inside the box to be detected from the original temperature and humidity data on the surface of the box to be detected, realizing the process of determining the temperature and humidity without opening the box for the box to be detected, and realizing the determination of the temperature and humidity inside the box through the target temperature and humidity function inside the box, improving the safety and efficiency of abnormal detection.

[0104] It should be noted that for the parts not detailed in the embodiment of the present invention, reference can be made to the descriptions of the foregoing embodiments.

[0105] Embodiment III

[0106] Figure 8 The following is a schematic structural diagram of an abnormal detection device provided for Embodiment IV of the present invention. This embodiment is applicable to the situation of detecting abnormalities inside the box. The device can execute the abnormal detection method. The device can be implemented in the form of hardware and / or software, and the device can be configured in an electronic device. As Figure 8 shown, the device includes:

[0107] An original data acquisition module 310, configured to acquire the original temperature and humidity data on the surface of the box to be detected.

[0108] A target data detection module 320, configured to detect the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data.

[0109] An abnormal point detection module 330, configured to detect the abnormal temperature and humidity points inside the box according to the target temperature and humidity data inside the box to be detected.

[0110] The technical solution of the embodiment of the present invention obtains the original temperature and humidity data on the surface of the box to be detected; detects the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data; detects the abnormal temperature and humidity points in the box according to the target temperature and humidity data inside the box to be detected, solving the problems of low execution efficiency, poor accuracy and low safety in the abnormal detection of the box; by detecting the original temperature and humidity data on the surface of the box to be detected, the opening detection is avoided, and the safety of the abnormal detection is improved; according to the target temperature and humidity data, the abnormal temperature and humidity points in the box are detected intuitively and accurately, improving the efficiency and accuracy of the abnormal detection.

[0111] In an alternative embodiment of the present invention, the target data detection module 320 includes:

[0112] The original data acquisition unit is configured to acquire the original temperature and humidity data on at least one target surface of the box to be detected at a target moment, and the original temperature and humidity data includes the temperature and humidity acquired by the temperature and humidity acquisition devices configured in at least one target area of the target surface.

[0113] The surface function determination unit is configured to process the original temperature and humidity data of each target surface to obtain the target surface temperature and humidity function of each target surface.

[0114] The in-box function determination unit is configured to process the target surface temperature and humidity functions corresponding to each target surface to determine the target in-box temperature and humidity function; wherein, the target in-box temperature and humidity function is a relationship function between the in-box position points and the corresponding temperature and humidity.

[0115] The target data detection unit is configured to detect the target temperature and humidity data inside the box to be detected according to the target temperature and humidity function.

[0116] In an alternative embodiment of the present invention, the temperature and humidity acquisition device includes: a transmission card and an acquisition card; wherein, the transmission card is used to transmit the original temperature and humidity data; the acquisition card is used to acquire and store the original temperature and humidity data.

[0117] In an alternative embodiment of the present invention, the transmission card acquires the original temperature and humidity data of the acquisition card at fixed time intervals.

[0118] In an alternative embodiment of the present invention, any two target surfaces intersect; the target areas are distributed along at least one boundary line of the target surface where they are located, and the boundary lines of the same target surface are selected from the symmetry lines of the target surface.

[0119] In an alternative embodiment of the present invention, the abnormal point detection module 330 includes:

[0120] The three-dimensional cloud map generation unit is configured to generate the in-box three-dimensional cloud map data according to the target temperature and humidity data inside the box to be detected.

[0121] An abnormal event determination unit, configured to determine whether there is an abnormal temperature and humidity event in the box according to the three-dimensional cloud map data in the box.

[0122] An abnormal point detection unit, configured to detect and determine abnormal temperature and humidity points according to the three-dimensional cloud map slice data if there is an abnormal temperature and humidity event.

[0123] In an alternative embodiment of the present invention, the box to be detected includes a substation mechanism box.

[0124] The abnormal detection device provided by the embodiments of the present invention can execute the abnormal detection method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0125] It should be noted that for the parts not detailed in the embodiments of the present invention, reference may be made to the descriptions of the foregoing embodiments.

[0126] Embodiment 4

[0127] Figure 9 A schematic structural diagram of an electronic device 400 that can be used to implement the embodiments of the present invention is provided. The electronic device is intended to represent various forms of digital computers, such as, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, a personal digital processor, a cellular phone, a smart phone, a wearable device (such as a helmet, glasses, a watch, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are only for illustration and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0128] As Figure 9 shown, the electronic device 400 includes at least one processor 401, and a memory communicatively connected to at least one processor 401, such as a read-only memory (ROM) 402, a random access memory (RAM) 403, etc. Among them, the memory stores a computer program executable by at least one processor. The processor 401 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 402 or the computer program loaded from the storage unit 408 into the random access memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the electronic device 400 can also be stored. The processor 401, the ROM 402, and the RAM 403 are connected to each other through a bus 404. The input / output (I / O) interface 405 is also connected to the bus 404.

[0129] Multiple components in the electronic device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard, a mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a magnetic disk, an optical disc, etc.; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the electronic device 400 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0130] The processor 401 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 401 executes the various methods and processes described above, such as the anomaly detection method.

[0131] In some embodiments, the anomaly detection method can be implemented as a computer program, which is tangibly embodied in a computer-readable storage medium, such as the storage unit 408. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 400 via the ROM 402 and / or the communication unit 409. When the computer program is loaded into the RAM 403 and executed by the processor 401, one or more steps of the anomaly detection method described above can be executed. Alternatively, in other embodiments, the processor 401 can be configured to execute the anomaly detection method by any other suitable means (e.g., by means of firmware).

[0132] The various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special or general programmable processor, and can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0133] A computer program for implementing the method of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, a special purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowchart and / or block diagram to be implemented. The computer programs can be executed entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine, or entirely on a remote machine or server.

[0134] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0135] In order to provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0136] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected with each other by digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0137] A computing system can include a client and a server. The client and the server are generally remote from each other and typically interact through a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0138] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0139] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. An anomaly detection method, characterized in that, The method includes: Obtaining the original temperature and humidity data on the surface of the box to be detected; Detecting the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data; Detecting the abnormal temperature and humidity points inside the box according to the target temperature and humidity data inside the box to be detected; Wherein, the detecting the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data includes: At a target moment, collecting the original temperature and humidity data on at least one target surface of the box to be detected, and the original temperature and humidity data is collected by a temperature and humidity acquisition device configured for at least one target area including the target surface; Processing the original temperature and humidity data of each target surface to obtain the target surface temperature and humidity function of each target surface; Processing the target surface temperature and humidity functions corresponding to each target surface to determine the target in-box temperature and humidity function; wherein, the target in-box temperature and humidity function is a relationship function between any moment and any position coordinate inside the box to be detected and the corresponding temperature and humidity data; Detecting the target temperature and humidity data inside the box to be detected according to the target temperature and humidity function; Wherein, the processing the original temperature and humidity data of each target surface to obtain the target surface temperature and humidity function of each target surface includes: Processing the original temperature and humidity data of the target surface at the target moment through a fitting function to obtain the target surface temperature and humidity function of any target surface; processing each target surface in turn until the target surface temperature and humidity functions corresponding to all target surfaces at all target moments are obtained; Wherein, the processing the target surface temperature and humidity functions corresponding to each target surface to determine the target in-box temperature and humidity function includes: Approximating the temperature and humidity distribution inside the box as linear attenuation to obtain the target in-box temperature and humidity function inside the box to be detected.

2. The method according to claim 1, wherein The temperature and humidity acquisition device includes: a transmission card and an acquisition card; wherein, the transmission card is used for transmitting the original temperature and humidity data; the acquisition card is used for collecting and storing the original temperature and humidity data.

3. The method according to claim 2, wherein The transmission card obtains the original temperature and humidity data of the acquisition card at fixed time intervals.

4. The method according to claim 2, wherein Any two of the target surfaces intersect; the target area is distributed along at least one boundary line of the target surface where it is located, and the boundary lines of the same target surface are selected from the symmetry lines of the target surface.

5. The method according to claim 1, wherein The detecting the abnormal temperature and humidity points inside the box according to the target temperature and humidity data inside the box to be detected includes: Generating three-dimensional cloud map data inside the box according to the target temperature and humidity data inside the box to be detected; Determining whether there is an abnormal temperature and humidity event inside the box according to the three-dimensional cloud map data inside the box; If there is an abnormal temperature and humidity event, detecting and determining the abnormal temperature and humidity points according to the three-dimensional cloud map slice data.

6. The method according to claim 1, wherein The box to be detected includes a substation mechanism box.

7. An anomaly detection device, characterized in that, The device includes: An original data acquisition module, configured to obtain the original temperature and humidity data on the surface of the box to be detected; A target data detection module, configured to detect the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data; An abnormal point detection module, configured to detect the abnormal temperature and humidity points inside the box according to the target temperature and humidity data inside the box to be detected; Among them, the target data detection module includes: An original data acquisition unit, configured to collect original temperature and humidity data of at least one target surface of the box to be detected at a target moment, where the original temperature and humidity data is collected by temperature and humidity acquisition devices configured for at least one target area of the target surface; A surface function determination unit, configured to process the original temperature and humidity data of each target surface to obtain a target surface temperature and humidity function of each target surface; An in-box function determination unit, configured to process the target surface temperature and humidity functions corresponding to each target surface to determine a target in-box temperature and humidity function; where the target in-box temperature and humidity function is a relationship function between any position coordinate at any moment inside the box to be detected and the corresponding temperature and humidity data; A target data detection unit, configured to detect target temperature and humidity data inside the box to be detected according to the target temperature and humidity function; Among them, the surface function determination unit is specifically configured to process the original temperature and humidity data of the target surface at the target moment through a fitting function to obtain a target surface temperature and humidity function of any target surface; and process each target surface in sequence until the target surface temperature and humidity functions corresponding to all target surfaces at all target moments are obtained; Among them, the in-box function determination unit is specifically configured to approximate the temperature and humidity distribution inside the box as a linear attenuation to obtain a target in-box temperature and humidity function inside the box to be detected.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; where The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the anomaly detection method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the anomaly detection method according to any one of claims 1-6 when executed by a processor.

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