CN115164995A - Anomaly detection method, device, storage medium and electronic device - Google Patents

Abstract

The technical scheme of the embodiment of the invention discloses an abnormality detection method, an abnormality detection device, a storage medium and electronic equipment. The method comprises the following steps: acquiring original temperature and humidity data of the surface of a box body to be detected; detecting target temperature and humidity data in the box body to be detected according to the original temperature and humidity data; and detecting abnormal temperature and humidity points in the box according to target temperature and humidity data in the box to be detected. The technical scheme of the embodiment of the invention improves the efficiency, accuracy and safety of anomaly detection.

Description

Anomaly detection method, device, storage medium and electronic device

technical field

The present invention relates to the technical field of power equipment, and in particular, to an abnormality detection method, device, storage medium and electronic equipment.

Background technique

The coastal areas have a lot of rain and heavy humidity. The outdoor mechanism boxes in the open substations are exposed to the outside for a long time, and the equipment is easily damp due to water seepage and condensation.

When the equipment is damp, the usual inspection method is to open the box, and it is necessary to open the five anti-locks of the box and the door lock of the box.

However, there are a large number of boxes and locks in the substation. It takes a lot of manpower to perform an inspection, and it is prone to missed inspections and errors. When the box door is opened, it may also cause the risk of equipment malfunction due to the vibration of the box door, and there is an execution efficiency. low, poor accuracy, and low security.

SUMMARY OF THE INVENTION

The present invention provides an abnormality detection method, device, storage medium and electronic equipment, which improve the efficiency, accuracy and safety of abnormality detection.

According to an aspect of the present invention, an anomaly detection method is provided, comprising:

Obtain the original temperature and humidity data on the surface of the box to be tested;

According to the original temperature and humidity data, detect the target temperature and humidity data inside the box to be detected;

According to the target temperature and humidity data inside the box to be detected, the abnormal temperature and humidity points in the box are detected.

According to another aspect of the present invention, an abnormality detection device is characterized in that, the device comprises:

The original data acquisition module is used to acquire the original temperature and humidity data of the surface of the box to be detected;

The target data detection module is used to detect the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data;

The abnormal point detection module is used to detect abnormal temperature and humidity points in the box according to the target temperature and humidity data inside the box to be detected.

According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

The memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform any of the embodiments of the present invention. Anomaly detection method.

According to another aspect of the present invention, a computer-readable storage medium is provided, where computer instructions are stored in the computer-readable storage medium, and the computer instructions are used to cause a processor to implement any of the embodiments of the present invention when executed. anomaly detection method.

The technical solution of the embodiment of the present invention is to obtain the original temperature and humidity data on the surface of the box to be detected; according to the original temperature and humidity data, detect the target temperature and humidity data inside the box to be detected; according to the target temperature and humidity data inside the box to be detected, Detect abnormal temperature and humidity points in the box; solve the problems of low execution efficiency, poor accuracy and low safety in the abnormal detection of the box; The safety of abnormal detection is improved; according to the target temperature and humidity data, the abnormal temperature and humidity points in the box are intuitively and accurately detected, and the efficiency and accuracy of abnormal detection are improved.

It should be understood that the content described in this section is not intended to identify key or critical features of the embodiments of the invention, nor is it intended to limit the scope of the invention. Other features of the present invention will become readily understood from the following description.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

1 is a flowchart of an abnormality detection method provided according to Embodiment 1 of the present invention;

Fig. 2a is the three-dimensional cloud image slice data of the X-Z plane provided according to the first embodiment of the present invention;

Fig. 2b is the three-dimensional cloud image slice data of the Y-Z plane provided according to the first embodiment of the present invention;

Fig. 2c is the three-dimensional cloud image slice data of the X-Y plane provided according to the first embodiment of the present invention;

3 is a flowchart of an abnormality detection method provided according to Embodiment 2 of the present invention;

4 is a data processing flow chart of a temperature and humidity collection device and an abnormality detection device provided according to Embodiment 2 of the present invention;

5 is a schematic structural diagram of a capture card provided according to Embodiment 2 of the present invention;

6 is an overall layout diagram of a target surface and a target area provided according to Embodiment 2 of the present invention;

7a is a layout diagram of a target area of a target surface A according to Embodiment 2 of the present invention;

7b is a layout diagram of a target area of a target surface B according to Embodiment 2 of the present invention;

7c is a layout diagram of a target area of a target surface C provided according to Embodiment 2 of the present invention;

8 is a schematic structural diagram of an abnormality detection apparatus provided according to Embodiment 3 of the present invention;

FIG. 9 is a schematic structural diagram of an electronic device implementing the abnormality detection method according to an embodiment of the present invention.

Detailed ways

In order to make those skilled in the art better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only Embodiments are part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

It should be noted that the terms "first", "second" and the like in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used may be interchanged under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, 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 is not necessarily limited to those expressly listed Rather, those steps or units may include other steps or units not expressly listed or inherent to these processes, methods, products or devices.

Example 1

FIG. 1 is a flowchart of an abnormality detection method provided in Embodiment 1 of the present invention. This embodiment can be applied to the case of detecting abnormality inside the box, the method can be executed by the abnormality detection method device, the abnormality detection method device can be implemented in the form of hardware and/or software, and the abnormality detection method device can be configured in in electronic equipment. As shown in Figure 1, the method includes:

S110: Acquire original temperature and humidity data on the surface of the box to be detected.

Wherein, the box to be detected may be a box to be subjected to surface temperature and humidity detection. Optionally, the shape of the box to be detected may be a regular shape such as a rectangular parallelepiped and a cylinder, or may be an irregular shape, which is not limited herein.

The original temperature and humidity data may be the detected temperature and humidity data on the surface of the box to be detected. Optionally, the original temperature and humidity data may be the temperature and humidity data of a designated area or all areas of the surface of the cabinet to be detected.

Specifically, a temperature and humidity collection device can be configured in a designated area or all areas of the surface of the cabinet to be tested, and the temperature and humidity collection equipment can be used to collect the original temperature and humidity data of the designated area or all areas of the surface of the cabinet to be tested, and the original temperature and humidity data It is transmitted to the abnormality detection device, and the abnormality detection device can obtain the original temperature and humidity data of the box to be detected.

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

The target temperature and humidity data may 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.

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 are fitted to obtain the target surface temperature and humidity function of each target surface; Then approximate the temperature and humidity distribution inside the box as linear attenuation, and obtain the temperature and humidity function inside the target box to be detected; according to the temperature and humidity function in the target box, according to the position coordinates of any point at any time, the corresponding temperature and humidity function can be obtained. target temperature and humidity data. The target time may be the time when the current round of temperature and humidity data collection is completed on the same target surface. The target surface may be the surface on which the temperature and humidity collection device is configured on the box to be detected. The temperature and humidity function of the target surface may be a relationship function between the coordinates of any position on the surface of the box to be detected at any time and the corresponding temperature and humidity data. The temperature and humidity function in the target box can detect the relationship function between the coordinates of any position inside the box at any time and the corresponding temperature and humidity data.

S130: Detect abnormal temperature and humidity points in the box according to the target temperature and humidity data inside the box to be detected.

The abnormal temperature and humidity point may be a specific location coordinate point where the target temperature and humidity data inside the box is abnormal. By detecting and analyzing the abnormal temperature and humidity points in the box, the subsequent processing of the abnormal temperature and humidity points is facilitated.

Specifically, the target temperature and humidity data can be screened to screen out abnormal temperature and humidity points where the highest temperature inside the box to be detected exceeds the equipment operating temperature threshold, and the equipment overheats; or the temperature difference inside the box to be detected is higher than the current environment. The abnormal temperature and humidity point of condensation on the device that is higher than the temperature difference threshold of the current environment and higher than the humidity threshold of the current environment.

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

S1301. Generate three-dimensional cloud image data in the box according to the target temperature and humidity data inside the box to be detected.

Among them, the three-dimensional cloud map data in 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 in the box can display the temperature of different locations in different colors.

Specifically, coloring processing can be performed on any position at any time according to the target temperature and humidity data of the cabinet to be detected, and a corresponding color depth value can be assigned to the corresponding position coordinate point according to the target temperature and humidity data, and the same target temperature The humidity data has the same color depth value, and different target temperature and humidity data have different color depth values, generating the three-dimensional cloud image data in the box corresponding to each moment.

S1302 , according to the three-dimensional cloud map data in the box, determine whether there is an abnormal temperature and humidity event in the box.

The abnormal temperature and humidity event may be an event in which the target temperature and humidity data is abnormal.

Optionally, the abnormal temperature and humidity event may include: the maximum temperature inside the box to be detected exceeds the device 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.

The device operating temperature threshold may be the highest temperature value at which the device operates normally. By monitoring whether the temperature inside the box to be detected is higher than the operating temperature threshold of the equipment, it can be determined whether the equipment is overheated inside the box to be detected.

The temperature difference threshold may be an upper limit of the difference between the highest temperature and the lowest temperature of the current environment. The humidity threshold may be an 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, the inside of the box to be detected may be in the condition of condensation.

Specifically, the target temperature and humidity data in the box can be monitored according to the three-dimensional cloud image data in 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.

S1303. If there is an abnormal temperature and humidity event, detect and determine an abnormal temperature and humidity point according to the three-dimensional cloud image slice data.

The three-dimensional cloud image slice data may be three-dimensional cloud image slice data obtained by slicing a location where an abnormal temperature and humidity event exists. Optionally, the three-dimensional cloud image slice data may include: X-Z plane three-dimensional cloud image slice data, Y-Z plane three-dimensional cloud image slice data, and X-Y plane three-dimensional cloud image slice data.

Specifically, if there is an abnormal temperature and humidity event, the position where there is an abnormal temperature and humidity event is sliced according to the three-dimensional cloud image slice data, and the three-dimensional cloud image slice data of each position where there is an abnormal temperature and humidity event is obtained. According to the obtained three-dimensional cloud image slice The abnormal temperature and humidity events are detected and analyzed, and the abnormal temperature and humidity points are determined.

Exemplarily, if the target temperature and humidity data is determined according to the temperature and humidity function in the target box, then according to the temperature and humidity function T(x, y, z, t) in the target box, coloring processing is performed on each position coordinate point in the box, and each The color depth value of the position coordinate point is set as 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, and the point density can be equipped and adjusted by the technician according to the three-dimensional cloud map data in the box. When all the position coordinate points are colored, the three-dimensional cloud map data in the box can be obtained. By observing the maximum and minimum values of the target temperature and humidity data in the 3D cloud image data in the box, it can be determined whether there are abnormal temperature and humidity events such as equipment heating and equipment damping in the box. If it exists, the position where there are abnormal temperature and humidity events is sliced according to the three-dimensional cloud image data in the box, and the three-dimensional cloud image slice data is obtained. As shown in Figure 2a, Figure 2b and Figure 2c, the three-dimensional cloud image slice data of the X-Z plane, the Y-Z plane and the X-Y plane, respectively. According to the 3D cloud image slice data, analysis and diagnosis can be carried out, and abnormal temperature and humidity points can be quickly located.

This solution determines abnormal temperature and humidity events by generating three-dimensional cloud image data in the box, and can quickly detect abnormal temperature and humidity events; analyze and diagnose the location of abnormal temperature and humidity events through three-dimensional cloud image slice data, avoiding traditional single-point measurement. The method can only measure the average temperature in the box, roughly judge whether there is a heating phenomenon, and cannot diagnose the problem of the heating phenomenon of small parts; it can accurately identify the temperature and humidity values of each position coordinate point inside the box to be detected, Even subtle abnormal temperature and humidity points can be easily identified, greatly reducing the time of abnormal detection and improving the efficiency and accuracy of abnormal detection.

In an optional embodiment of the present invention, the box to be tested includes a substation mechanism box.

Exemplarily, if the box to be tested is a substation mechanism box, this type of box is in a closed and locked state during normal operation. The temperature and humidity acquisition equipment can be installed on the inner wall of the substation mechanism box. When it is necessary to perform abnormal detection on the cabinet such as moisture-proof and flood-proof or high-temperature special patrol, you can hold the NFC (Near Field Communication, near field communication) data processing terminal (that is, the abnormality detection device) from the outside of the cabinet and approach the three-sided NFC transmission card ( That is, temperature and humidity acquisition equipment), which obtains the original temperature and humidity data in a non-contact way, and the NFC data processing terminal will generate three-dimensional cloud map data in the box to display the temperature and humidity distribution in the box for quick inspection and diagnosis by substation operators.

In this scheme, the box to be tested is a substation mechanism box, and for the massive boxes and locks in the substation, the original temperature and humidity data are obtained in a non-contact way, and the data is processed to generate three-dimensional cloud map data in the box, which is convenient for analysis. The abnormal temperature and humidity points in the box are monitored and determined, which improves the problems of low efficiency, poor accuracy and low safety of abnormal detection in the substation, and improves the efficiency, accuracy and safety of abnormal detection of the substation mechanism box in the substation.

The technical solution of the embodiment of the present invention is to obtain the original temperature and humidity data on the surface of the box to be detected; according to the original temperature and humidity data, detect the target temperature and humidity data inside the box to be detected; according to the target temperature and humidity data inside the box to be detected, Detect abnormal temperature and humidity points in the box; solve the problems of low execution efficiency, poor accuracy and low safety in the abnormal detection of the box; The safety of abnormal detection is improved; according to the target temperature and humidity data, the abnormal temperature and humidity points in the box are intuitively and accurately detected, and the efficiency and accuracy of abnormal detection are improved.

Embodiment 2

FIG. 3 is a flowchart of an abnormality detection method according to Embodiment 2 of the present invention. In this embodiment, on the basis of the above-mentioned embodiment, the target temperature and humidity data inside the box to be detected is further refined according to the original temperature and humidity data. As shown in Figure 3, the method includes:

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

S220. At the target moment, collect raw temperature and humidity data on at least one target surface of the box to be detected, and the raw temperature and humidity data may be collected by a temperature and humidity collecting device configured in at least one target area including the target surface.

The target area may be a specific area configured with a temperature and humidity collection device.

The temperature and humidity collection device may be a device that performs temperature and humidity collection.

Specifically, when the temperature and humidity collection device completes the current round of temperature and humidity data collection on the same target surface, the abnormality detection device may collect the original temperature and humidity data on at least one target surface of the box to be detected.

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

Exemplarily, as shown in FIG. 4 , a data processing flow chart of a temperature and humidity collection device and an abnormality detection apparatus is provided.

The NFC branch card (that is, the acquisition card) collects the original temperature and humidity data at the layout point of the target area in real time through the temperature and humidity sensor configured inside the NFC branch card, and stores it in the microprocessor, waiting for the NFC main card (that is, the transmission card). )access.

The NFC data processing terminal (ie, the abnormality detection device) communicates with the NFC branch card in an active mode. The active mode is: when the NFC data processing terminal does not receive a read command, the NFC data processing terminal will keep a silent state and cyclically determine whether a read command is received. When the NFC data processing terminal receives the read 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.

As shown in FIG. 5 , a schematic structural diagram of a capture card is provided.

The shell material of the capture card can be polytetrafluoroethylene, and polytetrafluoroethylene has the properties of high and low temperature resistance, moisture resistance and corrosion resistance. Two small permanent magnets are embedded in the lower shell, which is easy to install inside the box. The main board ① consists of a button battery ④, a microprocessor ⑤, a temperature and humidity sensor ⑥, an NFC chip ③ and an NFC antenna ② and other modules. 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.

In this solution, the temperature and humidity acquisition devices are concrete examples of the transmission card and the acquisition card, the acquisition card is used to collect the original temperature and humidity data on the surface of the box to be detected in real time, and the communication between the transmission card and the abnormality detection device is used to convert the original temperature and humidity data. It is transmitted to the abnormality detection device, which realizes the detection of temperature and humidity data on the surface of the box to be detected, and provides a basis for abnormality detection in the box.

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

The fixed time interval may be the time interval between two adjacent temperature and humidity data collections by the collection card configured on the target surface. Values for fixed time intervals can be set and adjusted by technicians based on environmental data and battery life.

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 at regular time intervals.

Exemplarily, the transmission card is set as the NFC main card, and the capture card is set as the NFC branch card. As shown in Figure 4, the NFC main card communicates with the NFC branch card in a passive mode, that is, accesses the NFC branch card every fixed time interval to acquire and store the original temperature and humidity data stored in the branch card.

Optionally, since the NFC card can only communicate one-to-one, the NFC main card communicates with each NFC branch card in sequence at fixed time intervals. That is, access the NFC branch card 1 first, wait for a fixed time interval after the access, and then access the NFC branch card 2, and so on, until all the branch cards are accessed, then re-visit the branch card 1, and repeat this cycle.

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

In an optional 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, and the boundary line of the same target surface is selected from the symmetry lines of the target surface.

Specifically, any two intersecting surfaces are selected as the target surface; 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.

Exemplarily, FIG. 6 is an overall layout diagram of a target surface and a target area. Set the box to be detected as a cubic substation mechanism box 1, and the A (front), B (right side) and C (top) surfaces of the substation mechanism box 1 are the target surfaces of the substation mechanism box, A Face, face B and face C intersect each other. Spatially, each group of temperature and humidity acquisition devices on surfaces A, B, and C are distributed in an L-shaped axis-symmetrical distribution, connected end to end, which reduces the number of surfaces that need to be arranged with sensors, and ensures the representativeness and typicality of sampling. . A set of temperature and humidity collection devices 2 are configured on the target areas on the three target surfaces. The temperature and humidity collection device 2 can be built in the A, B and C surfaces of the substation mechanism box respectively, and the target area where it is located is distributed along the boundary line of the target surface, and the boundary line is the symmetry line of the target surface. The NFC data processing terminal 3 reads the original temperature and humidity data collected by the temperature and humidity collection device 2 from the outside of the substation mechanism box, obtains the target temperature and humidity data through data fitting, and finally converts the target temperature and humidity data into three-dimensional cloud image data in the box.

7a is a layout diagram of a target area of a target surface A; FIG. 7b is a layout diagram of a target area of a target surface B; FIG. 7c is a layout diagram of a target area of a target surface C.

The box to be tested contains three groups of temperature and humidity collection equipment: group A, group B and group C. Each group of temperature and humidity collection equipment is L-shaped. Each group of temperature and humidity acquisition devices consists of one NFC main card (ie, transmission card) and two sets of NFC branch cards (ie, acquisition cards). For example, group A temperature and humidity equipment consists of one 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; group B temperature and humidity equipment consists of one 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; Group C temperature and humidity equipment consists of one NFC main card 2-3-1, one A group of NFC branch cards 2-3-2 and a group of NFC branch cards 2-3-3 are formed. Group A contains two sets of NFC branch cards on the X axis and Z axis, Group B contains two sets of NFC branch cards on the Y axis and Z axis, and Group C contains two sets 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 set of NFC branch cards Ax_1, Ax_2, ..., Ax_9 for the X axis and a set of NFC branch cards Az_1, Az_2, ..., Az_9 for the Z axis; Group B contains a set of NFC branch cards for the Z axis Bz_1, Bz_2, ..., Bz_9 and a set of NFC branch cards By_1, By_2, ..., By_9 for the Y axis; Group C contains a set of NFC branch cards Cx_1, Cx_2, ..., Cx_9 for the X axis and one for the Y axis Group NFC branch cards Cy_1, Cy_2, ..., Cy_9. The NFC branch card is equipped with a temperature and humidity sensor, which can collect and store the real-time raw temperature and humidity data of the location coordinate points corresponding to the installed target area. In order to prevent each NFC main card holder from interfering with each other when the NFC data processing terminal reads the NFC main card, each NFC main card keeps a distance. As shown in Figure 6, the NFC master card configures the vertices of the target areas of each target surface of the card, maintaining the distance between the NFC master cards.

By setting any two target surfaces to intersect, and the target area is distributed along the symmetric boundary line of the target surface, this scheme can keep the accuracy of abnormal detection, compared to tiling the greenhouse collection equipment at equal intervals on all surfaces of the box to be detected. In the case of temperature and humidity, the number of layouts of temperature and humidity acquisition equipment is greatly reduced, and the cost of components and daily maintenance costs is saved; it is convenient for subsequent processing of original temperature and humidity data; it ensures that the temperature and humidity acquisition equipment will not be affected by other equipment in the box The interference ensures the accuracy of the original temperature and humidity data collection.

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

Specifically, the original temperature and humidity data of the target surface at the target time can be processed by a fitting function to obtain the target surface temperature and humidity function of any target surface. Each target surface is processed in sequence until the target surface temperature and humidity functions corresponding to all target surfaces at all target times are obtained.

得到A面的目标表面温湿度函数为Ta(x,z,t₀)＝Gauss fit[(x₁,z₁),(x₂,z₂),...,(x₉,z₉)]。类似的，可以得到B面和C面的温湿度

Tc(x,y,t₀)。Exemplarily, as shown in Figure 7a, Figure 7b and Figure 7c, the target time is set as t0, the target surfaces are A, B and C, and the original temperature of the X-axis acquisition card of the temperature and humidity acquisition equipment of group A is set. The humidity data are respectively x ₁ =Ax_1(t ₀ ), x ₂ =Ax_2(t ₀ ),..., x ₉ =Ax_9(t ₀ ), the original temperature and humidity data of the Z-axis acquisition card z ₁ =Az_1( t ₀ ), z ₂ =Az_2(t ₀ ), . . . , z ₉ =Az_9(t ₀ ). Fit function by Gaussian

The temperature and humidity function of the target surface obtained on surface A is Ta(x,z,t ₀ )=Gauss fit[(x ₁ ,z ₁ ),(x ₂ ,z ₂ ),...,(x ₉ ,z ₉ ) ]. Similarly, the temperature and humidity of side B and side C can be obtained

Tc(x, y, t ₀ ).

S240. Process the temperature and humidity functions of the target surfaces corresponding to each target surface to determine the temperature and humidity functions in the target box; wherein, the temperature and humidity functions in the target box are the relationship functions between the position points in the box and the corresponding temperature and humidity.

Specifically, the temperature and humidity data inside the box to be detected can be approximated as linear decay, the temperature and humidity data of any coordinate point inside the box to be detected corresponding to the target time can be determined, and the temperature and humidity data at different target moments can be substituted into , the temperature and humidity functions in the target box can be obtained.

将不同目标时刻的温湿度数据代入后，可以得到任意时刻箱内任意点的温湿度函数T(x,y,z,t)。Exemplarily, set the target time as time t0, approximate the temperature and humidity distribution inside the box to be detected as linear decay, and the temperature and humidity of any coordinate point inside the box to be detected at time t0 are:

After substituting the temperature and humidity data at different target times, the temperature and humidity function T(x, y, z, t) of any point in the box at any time can be obtained.

S250, according to the target temperature and humidity function, detect the target temperature and humidity data inside the box to be detected.

Specifically, 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 and obtained according to the target temperature and humidity function.

S260: Detect 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 is to obtain the original temperature and humidity data of the surface of the box to be detected; at the target moment, collect the original temperature and humidity data of at least one target surface of the box to be detected; process the original temperature and humidity data of each target surface , obtain the target surface temperature and humidity function of each target surface; process the target surface temperature and humidity function corresponding to each target surface to determine the temperature and humidity function in the target box; according to the target temperature and humidity function, detect the target temperature and humidity inside the box to be detected According to the target temperature and humidity data inside the box to be detected, the abnormal temperature and humidity points in the box are detected; through the original temperature and humidity data of the target area of the target surface of the box to be detected, the target of the target surface of the box to be detected is obtained by calculation. Surface temperature and humidity function, through the temperature and humidity function of the target surface of the box to be detected, the temperature and humidity function in the target box inside the box to be detected is calculated, and the original temperature and humidity data on the surface of the box to be detected can be used to determine the interior of the box to be detected. The process of the target temperature and humidity data, realizes the process of determining the temperature and humidity of the box to be detected without opening the box, and realizes the determination of the temperature and humidity in the box through the target box function, which improves the safety of abnormal detection. performance and efficiency.

It should be noted that, for the parts that are not described in detail in the embodiments of the present invention, reference may be made to the descriptions of the foregoing embodiments.

Embodiment 3

FIG. 8 is a schematic structural diagram of an abnormality detection apparatus according to Embodiment 4 of the present invention. This embodiment can be applied to the case of detecting abnormality inside the box, the device can execute the abnormality 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 shown in Figure 8, the device includes:

The original data acquisition module 310 is used for acquiring original temperature and humidity data of the surface of the box to be detected.

The target data detection module 320 is configured to detect the target temperature and humidity data inside the box to be detected according to the original temperature and humidity data.

The abnormal point detection module 330 is 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.

The technical solution of the embodiment of the present invention is to obtain the original temperature and humidity data on the surface of the box to be detected; according to the original temperature and humidity data, detect the target temperature and humidity data inside the box to be detected; according to the target temperature and humidity data inside the box to be detected, Detect abnormal temperature and humidity points in the box; solve the problems of low execution efficiency, poor accuracy and low safety in the abnormal detection of the box; The safety of abnormal detection is improved; according to the target temperature and humidity data, the abnormal temperature and humidity points in the box are intuitively and accurately detected, and the efficiency and accuracy of abnormal detection are improved.

In an optional embodiment of the present invention, the target data detection module 320 includes:

The raw data acquisition unit is used to collect raw temperature and humidity data on at least one target surface of the box to be detected at the target moment.

The surface function determination unit is used for processing the original temperature and humidity data of each target surface to obtain the target surface temperature and humidity function of each target surface.

The function determination unit in the box is used to process the temperature and humidity function of the target surface corresponding to each target surface, and determine the temperature and humidity function in the target box; wherein, the temperature and humidity function in the target box is between the position point in the box and the corresponding temperature and humidity. relation function.

The target data detection unit is used for detecting the target temperature and humidity data inside the box to be detected according to the target temperature and humidity function.

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

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

In an optional 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, and the boundary line of the same target surface is selected from the symmetry lines of the target surface.

In an optional embodiment of the present invention, the outlier detection module 330 includes:

The three-dimensional cloud image generation unit is used for generating three-dimensional cloud image data in the box according to the target temperature and humidity data inside the box to be detected.

The abnormal event determination unit is used 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.

The abnormal point detection unit is used for detecting and determining abnormal temperature and humidity points according to the three-dimensional cloud map slice data if there is an abnormal temperature and humidity event.

In an optional embodiment of the present invention, the box to be tested includes a substation mechanism box.

The abnormality detection apparatus provided by the embodiment of the present invention can execute the abnormality detection method provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

It should be noted that, for the parts that are not described in detail in the embodiments of the present invention, reference may be made to the descriptions of the foregoing embodiments.

Embodiment 4

FIG. 9 provides a schematic structural diagram of an electronic device 400 that may be used to implement embodiments of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smart phones, wearable devices (eg, helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are by way of example only, and are not intended to limit implementations of the inventions described and/or claimed herein.

As shown in FIG. 9, the electronic device 400 includes at least one processor 401, and a memory, such as a read only memory (ROM) 402, a random access memory (RAM) 403, etc., connected in communication with the at least one processor 401, wherein the memory stores There is a computer program executable by at least one processor, and the processor 401 can be executed according to a computer program stored in a read only memory (ROM) 402 or loaded from a storage unit 408 into a random access memory (RAM) 403. Various appropriate actions and processes are performed. In the RAM 403, various programs and data necessary 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 . An input/output (I/O) interface 405 is also connected to bus 404 .

Various 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 disk, etc. etc.; and a communication unit 409, such as a network card, modem, wireless communication transceiver, and the like. The communication unit 409 allows the electronic device 400 to exchange information/data with other devices through a computer network such as the Internet and/or various telecommunication networks.

The processor 401 may be various general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 401 include, but are not limited to, central processing units (CPUs), graphics processing units (GPUs), various specialized artificial intelligence (AI) computing chips, various processors that run machine learning model algorithms, digital signal processing processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 401 performs the various methods and processes described above, such as anomaly detection methods.

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

Various implementations of the systems and techniques described herein above may be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips system (SOC), load programmable logic device (CPLD), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include being implemented in one or more computer programs executable and/or interpretable on a programmable system including at least one programmable processor that The processor, which may be a special purpose or general-purpose programmable processor, may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device an output device.

Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/operations specified in the flowcharts and/or block diagrams to be carried out. The computer program may execute 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 the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in connection with the instruction execution system, apparatus or device. Computer-readable storage media may include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media would include one or more wire-based electrical connections, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), fiber optics, compact disk read only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination of the foregoing.

To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having a display device (eg, a CRT (cathode ray tube) or an LCD (liquid crystal display)) for displaying information to the user monitor); and a keyboard and pointing device (eg, a mouse or trackball) through which a 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 (eg, visual feedback, auditory feedback, or tactile feedback); and can be in any form (including acoustic input, voice input, or tactile input) to receive input from the user.

The systems and techniques described herein may be implemented on a computing system that includes back-end components (eg, as a data server), or a computing system that includes middleware components (eg, an application server), or a computing system that includes front-end components (eg, a user's computer having a graphical user interface or web browser through which a user may interact with implementations of the systems and techniques described herein), or including such backend components, middleware components, Or any combination of front-end components in a computing system. The components of the system may be interconnected by any form or medium of digital data communication (eg, a communication network). Examples of communication networks include: Local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the Internet.

A computing system can include clients and servers. Clients and servers are generally remote from each other and usually interact through a communication network. The relationship of client and server arises by computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or a cloud host. It is a host product in the cloud computing service system to solve the traditional physical host and VPS services, which are difficult to manage and weak in business scalability. defect.

It should be understood that steps may be reordered, added or deleted using the various forms of flow shown above. For example, the steps described in the present invention can be performed in parallel, sequentially or in different orders, and as long as the desired results of the technical solutions of the present invention can be achieved, no limitation is imposed herein.

The above-mentioned specific embodiments do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (10)

1. an abnormality detection method, it is characterised in that the method comprises: Obtain the original temperature and humidity data on the surface of the box to be tested; According to the original temperature and humidity data, detect the target temperature and humidity data inside the to-be-detected box; According to the target temperature and humidity data inside the box to be detected, the abnormal temperature and humidity points in the box are detected. 2 . The method according to claim 1 , wherein the detecting, according to the original temperature and humidity data, the target temperature and humidity data inside the to-be-detected box comprises: 2 . At the target moment, collecting raw temperature and humidity data on at least one target surface of the box to be detected, the raw temperature and humidity data being collected by a temperature and humidity collecting device configured in at least one target area including the target surface; processing the original temperature and humidity data of each target surface to obtain a target surface temperature and humidity function of each target surface; The temperature and humidity function of the target surface corresponding to each target surface is processed to determine the temperature and humidity function in the target box; wherein, the temperature and humidity function in the target box is the relationship function between the position point in the box and the corresponding temperature and humidity; According to the target temperature and humidity function, the target temperature and humidity data inside the to-be-detected box is detected. 3 . The method according to claim 2 , wherein the temperature and humidity collection device comprises: a transmission card and a collection card; wherein, the transmission card is used for transmitting original temperature and humidity data; the collection card is used for collecting and store raw temperature and humidity data. 4 . The method according to claim 3 , wherein the transmission card acquires the original temperature and humidity data of the acquisition card at regular intervals. 5 . 5 . The method according to claim 3 , wherein any two target surfaces intersect; the target area is distributed along at least one boundary line of the target surface, and the boundary line of the same target surface passes through the target surface. 6 . Select from Symmetry Line of Target Surface. 6 . The method according to claim 1 , wherein the detecting an abnormal temperature and humidity point in the box according to the target temperature and humidity data inside the box to be detected comprises: 6 . According to the target temperature and humidity data inside the box to be detected, generate three-dimensional cloud map data in the box; According to the three-dimensional cloud map data in the box, determine whether there are abnormal temperature and humidity events in the box; If there is an abnormal temperature and humidity event, the abnormal temperature and humidity point is detected and determined according to the three-dimensional cloud image slice data. 7. The method according to claim 1, wherein the box to be tested comprises a substation mechanism box. 8. An abnormality detection device, characterized in that the device comprises: The original data acquisition module is used to acquire the original temperature and humidity data of the surface of the box to be detected; a target data detection module, configured to detect the target temperature and humidity data inside the to-be-detected box according to the original temperature and humidity data; The abnormal point detection module is used for detecting abnormal temperature and humidity points in the box according to the target temperature and humidity data inside the box to be detected. 9. An electronic device, characterized in that the electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; wherein, the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform any of claims 1-7 The described anomaly detection method. 10. A computer-readable storage medium, characterized in that, the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method described in any one of claims 1-7 when executed. Anomaly detection method.

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